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What is Google Scholar?
 
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What is Google Scholar? This short video by John Bond of Riverwinds Consulting discusses Google Scholar. FIND OUT more about John Bond and his publishing consulting practice at www.RiverwindsConsulting.com JOHN'S NEW BOOK is “Scholarly Publishing: A Primer” To find out more about the book: https://www.booksbyjohnbond.com/about-scholarly-publishing Buy it at Amazon: http://amzn.to/2jqaLPp SEND IDEAS for John to discuss on Publishing Defined. Email him at [email protected] or see http://www.PublishingDefined.com CONNECT Twitter: https://twitter.com/JohnHBond/ LinkedIn: https://www.linkedin.com/in/johnbondnj/ Google+: https://plus.google.com/u/0/113338584717955505192/ Goodreads: https://www.goodreads.com/user/show/51052703-john-bond/ YouTube: https://www.youtube.com/c/JohnBond/ TRANSCRIPT Hi there. I am John Bond from Riverwinds Consulting and this is Publishing Defined. Today I am going to talk about Google Scholar. Google Scholar is a search engine that indexes scholarly literature across many disciplines and formats. Google Scholar was launched in 2004. It includes peer-reviewed academic journals, books and monographs, conference papers, theses and dissertations, preprints, abstracts, technical reports, and other formats. It reportedly contains the full text or metadata of more than 160 million documents, as of 2014. Some of the features of Google Scholar include: a citation importing feature for supporting bibliography managers; being able to save search results; being able to view an Impact Factor of some journals; the ability to search for digital or physical copies of articles, whether online or in libraries; and linking to online availability of cited content. In 2012, Google Scholar created "Scholar Citations profiles", or author profiles that are editable by authors themselves and that link to their indexed work. Google Scholar separately includes a legal database of US cases which inserts Westlaw and LexisNexis style page numbers in line with the text of the case. Google Scholar also has its detractors. The topics of concern are: lack of screening for quality and including predatory open access material; listing content in incorrect disciplines; vulnerability to spam; an incomplete listing of all major scholarly publications; and more. Most recently people have been observing major publishers and databases performing Academic Search Engine Optimization, as a way to optimize placement in such places as Google Scholar. This brings a host of other potentially negative issues. Nonetheless, Google Scholar will continue to grow in importance with users and there are concerns that it will replace, in the minds of many, other more scholarly options. Well that’s it. I am a publishing consultant and work with associations, publishers, and individuals on a host of content related challenges. Reach out to me at RiverwindsConsulting.com with your questions. Hit the Like button below if you enjoyed this video. Please subscribe to my YouTube channel or click on the playlist or more videos from Riverwinds Consulting. And make comments below. Thank so much and take care.
Views: 531 John Bond
Data Mining using Google Correlate
 
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In this video you will be introduced to the Google product "Google Correlate"". You can find which search word trend is matching with the real world time series data. Contact us [email protected]
Views: 1618 Analytics University
Inspiring story of a Google scholar || Ramanujan Fellowship ||  Tanmoy Chakraborty
 
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Tanmoy Chakraborty is an Assistant Professor and a Ramanujan Fellow at Indraprastha Institute of Information Technology Delhi (IIIT-D). Postdoctoral Researcher at University of Maryland, College Park. Google India PhD scholar from IIT Kharagpur,India Research interests include Data Mining, Complex Networks, Social Computing, Natural Language Processing, Data-driven Cybersecurity. Received Google India Faculty Award Received Teaching Excellence Award Dr.Tanmoy Chakraborty's site: https://sites.google.com/site/tanmoychakra88/ Facebook page: https://m.facebook.com/chak.tanmoy?tsid=0.9038228372241992&source=result
Views: 684 vision2 success
Connecting to Library Resources Using Google Scholar | Google | G00GLs
 
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https://www.youtube.com/G00GLs Connecting to Library Resources Using Google Scholar | Google | G00GLs When I saw Google had somehow forgotten to include any ads in their Project Glass promotional video I just couldn't resist fixing that oversight for them. So here is my slightly more realistic version of Google's augmented reality glasses - now featuring contextual Google Ads! Of course I'm exaggerating a bit here for visual effect to mimic the modern web browsing experience. Google will probably not be this obvious with their interface but there's no question that the company will be gathering a massive amount of extremely personal data based on what you look at and for how long. The company may use this data mining to build even more detailed consumer profiles and/or sell über targeted ads. Because let's face it, Google is really just a massive advertising company at heart. Fun Fact: All of the AdWords used are actual Google ad returns found via Google searches based on the dialog, situation or setting in the original video. Yes "Music, Stop!" does actually return an ad asking if you would like to listen to music. Google really can't be too annoyed at this remix because after all I'm just putting Google Ads overtop of a Google video on Google's owned video hosting service. See the original Google video: http://www.youtube.com/watch?v=9c6W4C... UPDATE: This remix appears to have gone viral with over half a million views in 5 days. I'm happy the video has been part of the changing media story around Google's "augmented reality" product from the initial uncritical view to a slightly more skeptical frame that at least raises concerns about privacy, personal data mining and "targeted" advertising. FURTHER READING: Back in February 2012 Sebastian Anthony wrote about the then-rumored Google glasses on Extreme Tech saying - "Remember, Google is ultimately an advertising company, where eyeballs directly translate into money — and it's hard to get any closer to your eyes than a pair of augmented reality glasses. When you look at a car dealership, Google will be able to display ads from a competitor. When you sit in front of a computer, or TV, or stare through a shop window, the glasses will be able to track your head movements and report back on the efficacy of display ads. Perhaps most excitingly, when you read a newspaper or book or other static medium, Google could even overlay its own, interactive ads." Here is a link to that article: http://www.extremetech.com/computing/... FAIR USE NOTICE: This transformative remix work constitutes a fair use of any copyrighted material as provided for in section 107 of the US copyright law. "ADmented Reality" was remixed by Jonathan McIntosh and is licensed under a Creative Commons BY-NC-SA 3.0 License permitting non-commercial sharing and remixing with attribution.
Views: 65 Googles
How To Extract/Scrape Google Search Result Using Data Miner
 
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Data Miner(Google Chrome Extension) https://chrome.google.com/webstore/detail/dataminer/nndknepjnldbdbepjfgmncbggmopgden Use Data Miner to extract Google Search Result Website URL into CSV File. Web Scraping Web Scraper Google Search Result Scraper Google Search Result Scraping Leave your comment. Thank You.
Views: 18356 Craftive Dojo
R & shiny application for google scholar data crawl and netowrk analysis
 
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see it here: http://scholar.socialvillage.me
Python Web Scraping Tutorial 18 – Google APIs
 
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Google has one of the most comprehensive, easy to use collections of APIs on the web today. Google has an API for anything you need to do for your web application like language translation, geolocation, calendars etc. In this tutorial we will look at how to work with Google Maps API. --- Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebook Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 3968 Sukhvinder Singh
HDFS 280 - Using Google Scholar
 
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This tutorial will introduce you to Google Scholar and help you to find scholarly publications. See http://guides.lib.purdue.edu/hdfs for more information.
Views: 145 PurdueLibraries
How to Scrape Google Search Results Quickly, Easily and for Free
 
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More here: http://www.gaintap.com/seo/scrape-google-search-links-for-free *UPDATE 6/30/2015 - Set your search results to 100 results instead of the default 20. This makes it WAY FASTER. Big thanks to "The 5 Dollar Website" for letting me know. In this video I cover how to scrape Google search results in a totally safe, non-black hat way. This uses the Google chrome extension called Linkclump and it's totally free. Scraping Google search results doesn't work well with automated web crawlers. If you're not using a proxy to mask your IP, you'll get yourself banned from Google pretty quickly. For that reason I don't mess around trying to scrape Google that way. This method of scraping Google pulls page titles and links. From there you can go on to process that data in interesting ways. I was able to pull 1,000 links in about 5 minutes sitting on my couch, watching TV. That's about 40 links every 5 seconds.
Views: 21340 GainTap
Getting the Most out of Google Search
 
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If you're looking for something simple, you'll almost always get the correct results the first try. For everything else, you need a bit more power. Here's everything you need to find those hard-to-find things with Google, Bing, and other search engines. See the companion tutorial on Tuts+: https://computers.tutsplus.com/tutorials/how-to-find-anything-online-with-advanced-search-techniques--cms-21154. By Bob Flisser.
Views: 70901 Tuts+ Computer Skills
How to use Google CSE
 
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How to create a Google Custom Search Engine. Google.com/cse/
Views: 5627 Richard Byrne
Crowd Density Estimation Method - UCSD Crowd Counting Dataset
 
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A simple video showing how generally a crowd density estimation method works using some steps from receiving an input image to segmenting its foreground into a number of regions and predicting the people count within each region until finally calculating the total count within the entire image. Crowd density estimation is the recent approach to predict the people count within crowded scenes automatically. Different types of features are extracted from the image segmented regions and people count is predicted using regression analysis. The University of California San Diego (UCSD) crowd counting dataset was used. This preview used 6 videos from the UCSD dataset from video number 14 to 19 from vidf scene. For more information about the UCSD crowd counting dataset: Chan, A. B., Liang, Z. S. J., & Vasconcelos, N. (2008, June). Privacy preserving crowd monitoring: Counting people without people models or tracking. CVPR 2008. IEEE Conference on Computer Vision and Pattern Recognition (pp. 1-7). IEEE. أحمد فوزي جاد Ahmed Fawzy Gad قسم تكنولوجيا المعلومات Information Technology (IT) Department كلية الحاسبات والمعلومات Faculty of Computers and Information (FCI) جامعة المنوفية, مصر Menoufia University, Egypt Teaching Assistant/Demonstrator [email protected] Find me on: AFCIT http://www.afcit.xyz YouTube https://www.youtube.com/channel/UCuewOYbBXH5gwhfOrQOZOdw Google Plus https://plus.google.com/u/0/+AhmedGadIT SlideShare https://www.slideshare.net/AhmedGadFCIT LinkedIn https://www.linkedin.com/in/ahmedfgad/ ResearchGate https://www.researchgate.net/profile/Ahmed_Gad13 Academia https://menofia.academia.edu/Gad Google Scholar https://scholar.google.com.eg/citations?user=r07tjocAAAAJ&hl=en Mendelay https://www.mendeley.com/profiles/ahmed-gad12/ ORCID https://orcid.org/0000-0003-1978-8574 StackOverFlow http://stackoverflow.com/users/5426539/ahmed-gad Twitter https://twitter.com/ahmedfgad Facebook https://www.facebook.com/ahmed.f.gadd Pinterest https://www.pinterest.com/ahmedfgad/
Views: 1651 Ahmed Gad
Google Search tip: Find public data
 
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Use Google Search to find public data, like population, employment rates and life expectancy.
Views: 33695 Google Help
Data Mining: How You're Revealing More Than You Think
 
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Data mining recently made big news with the Cambridge Analytica scandal, but it is not just for ads and politics. It can help doctors spot fatal infections and it can even predict massacres in the Congo. Hosted by: Stefan Chin Head to https://scishowfinds.com/ for hand selected artifacts of the universe! ---------- Support SciShow by becoming a patron on Patreon: https://www.patreon.com/scishow ---------- Dooblydoo thanks go to the following Patreon supporters: Lazarus G, Sam Lutfi, Nicholas Smith, D.A. Noe, سلطان الخليفي, Piya Shedden, KatieMarie Magnone, Scott Satovsky Jr, Charles Southerland, Patrick D. Ashmore, Tim Curwick, charles george, Kevin Bealer, Chris Peters ---------- Looking for SciShow elsewhere on the internet? Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Tumblr: http://scishow.tumblr.com Instagram: http://instagram.com/thescishow ---------- Sources: https://www.aaai.org/ojs/index.php/aimagazine/article/viewArticle/1230 https://www.theregister.co.uk/2006/08/15/beer_diapers/ https://www.theatlantic.com/technology/archive/2012/04/everything-you-wanted-to-know-about-data-mining-but-were-afraid-to-ask/255388/ https://www.economist.com/node/15557465 https://blogs.scientificamerican.com/guest-blog/9-bizarre-and-surprising-insights-from-data-science/ https://qz.com/584287/data-scientists-keep-forgetting-the-one-rule-every-researcher-should-know-by-heart/ https://www.amazon.com/Predictive-Analytics-Power-Predict-Click/dp/1118356853 http://dml.cs.byu.edu/~cgc/docs/mldm_tools/Reading/DMSuccessStories.html http://content.time.com/time/magazine/article/0,9171,2058205,00.html https://www.nytimes.com/2012/02/19/magazine/shopping-habits.html?pagewanted=all&_r=0 https://www2.deloitte.com/content/dam/Deloitte/de/Documents/deloitte-analytics/Deloitte_Predictive-Maintenance_PositionPaper.pdf https://www.cs.helsinki.fi/u/htoivone/pubs/advances.pdf http://cecs.louisville.edu/datamining/PDF/0471228524.pdf https://bits.blogs.nytimes.com/2012/03/28/bizarre-insights-from-big-data https://scholar.harvard.edu/files/todd_rogers/files/political_campaigns_and_big_data_0.pdf https://insights.spotify.com/us/2015/09/30/50-strangest-genre-names/ https://www.theguardian.com/news/2005/jan/12/food.foodanddrink1 https://adexchanger.com/data-exchanges/real-world-data-science-how-ebay-and-placed-put-theory-into-practice/ https://www.theverge.com/2015/9/30/9416579/spotify-discover-weekly-online-music-curation-interview http://blog.galvanize.com/spotify-discover-weekly-data-science/ Audio Source: https://freesound.org/people/makosan/sounds/135191/ Image Source: https://commons.wikimedia.org/wiki/File:Swiss_average.png
Views: 142122 SciShow
HCA Capstone Literature Search: Google Scholar
 
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Learn how to connect Google Scholar to Marlboro College's library holdings; search for articles on your topic; use bibliographies and the "Cited By" link to find related articles; and request articles via Interlibrary Loan.
Views: 49 RiceAronLibrary
Bookmark Think with Google: Katie Mackay, Mother London
 
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Katie Mackay, joint head of strategy at Mother London, believes in emotional insights backed by data. Get the latest insights and trends: sign up to Think with Google at g.co/thinksignup
Views: 130152 Think with Google UK
New methods for understanding complex data, from storytelling to machine learning - Mauro Martino
 
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Abstract: The aesthetics of science is changing, the diffusion of data visualization tools is enabling a revival of beauty in scientific research. More and more papers are presented with seductive images, convincing videos, and sharp interactive tools. Scientific storytelling will be discussed with 2 case studies: "Charting Culture, 2014", and "Rise of partisanship, 2015". In the second part of the talk we explore the connection between Machine Learning & Data Visualization. We will see together 3 projects: News Explorer - exploration of real-time news, Ted Watson - exploration of a large corpus of videos, and Watson 500 - the analysis of relationships between entities and topics in a specific corpus of date. We encourage the public to use these tools before the talk: http://news-explorer.mybluemix.net/ http://watson.ted.com/ http://watson500.mybluemix.net/ Biography: Mauro Martino is an Italian expert in data visualization based in Boston. He created and leads the Cognitive Visualization Lab at IBM Watson in Cambridge, Massachusetts, USA. Martino’s data visualizations have been published in the scientific journals Nature, Science, and the Proceedings of the National Academy of Sciences. His projects have been shown at international festivals including Ars Electronica, and art galleries including the Serpentine Gallery, UK, GAFTA, USA, and the Lincoln Center, USA. Jointly organized by the Data Science program and the Cyberinfrastructure for Network Science Center, this talk is partially supported by Indiana University’s Consortium for the Study of Religion, Ethics and Society, a consortium sponsored by the Vice President for Research Office Talk details can be found at http://cns.iu.edu/cnstalks. All talks will take place in the new Social Science Research Commons, Woodburn Hall 200 (unless otherwise noted). Official Page: http://www.mamartino.com/ LinkedIn: https://www.linkedin.com/in/mauromartino Twitter: https://twitter.com/martino_design Google Scholar Citations: https://scholar.google.com/citations?user=c9gkCgIAAAAJ&hl=en
Views: 96 IU Data Science
I.Q. BUILDERS: ALGORITHMS & How Facebook & Google Control Your Mind!
 
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I.Q. BUILDERS: ALGORITHMS & How Facebook & Google Control Your Mind! Will the revolution be tweeted? There is a lot of optimism about the digital age and the possibilities that that offers to people who want to organize, but there are shortcomings to social media, and search engines. Lee Camp sits down with UCLA Professor Ramesh Srinivasan to discuss his new book. 'Whose Global Village? Rethinking How Technology Shapes Our World.' In this groundbreaking interview, we discover that massive internet companies are wielding more influence than we might suspect. 'Whose Global Village?' is a call to action to include marginalized, non-western communities in the continuously expanding digital revolution In the digital age, technology has shrunk the physical world into a 'global village,' where we all seem to be connected as an online community as information travels to the farthest reaches of the planet with the click of a mouse. Yet while we think of platforms such as Twitter and Facebook as open and accessible to all, in reality, these are commercial entities developed primarily by and for the Western world. Considering how new technologies increasingly shape labor, economics, and politics, these tools often reinforce the inequalities of globalization, rarely reflecting the perspectives of those at the bottom of the digital divide. This book asks us to re-consider ‘whose global village’ we are shaping with the digital technology revolution today. Sharing stories of collaboration with Native Americans in California and New Mexico, revolutionaries in Egypt, communities in rural India, and others across the world, Ramesh Srinivasan urges us to re-imagine what the Internet, mobile phones, or social media platforms may look like when considered from the perspective of diverse cultures. Such collaborations can pave the way for a people-first approach toward designing and working with new technology worldwide. Whose Global Village seeks to inspire professionals, activists, and scholars alike to think about technology in a way that embraces the realities of communities too often relegated to the margins. We can then start to visualize a world where technologies serve diverse communities rather than just the Western consumer. Algorithms are a self-contained mathematical computer sequences of actions that can perform automated calculations, data processing, and reasoning tasks in order to generate further actions as determined by the implementer of the specific algorithm used. REFERENCES: * https://wikipedia.org/wiki/Algorithm * https://wikipedia.org/wiki/Data_mining * https://wikipedia.org/wiki/Social_media_mining * https://wikipedia.org/wiki/Behavioral_targeting * https://wikipedia.org/wiki/Profiling_(information_science) * https://wikipedia.org/wiki/Cambridge_Analytica * https://wikipedia.org/wiki/Psychometrics Behavior * https://wikipedia.org/wiki/Heuristic * https://wikipedia.org/wiki/Behavioral_economics * https://wikipedia.org/wiki/Behavioralism LINKS: * http://RameshSrinivasan.org/book-whose-global-village/ DISCLAIMER: This video was edited and summarized from the original broadcast to remove all of the stuttering, throat-clearing, misspoken words, repetition, unnecessary pauses, ummms, ahhhhs, you-know, and-so, etc. to enhance consistency, coherence, and clarity-of-thought. KEYWORDS: Algorithms, Facebook, Google, Data Mining, Social Media Mining, Psychometrics, Cambridge Analytica, Heuristics,
Views: 49 Randy Pi
Social Media Data - Computerphile
 
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If you're not the customer you are the product. Dr Max Wilson on the third party apps embedded in social media. EXTRA BITS: https://youtu.be/ZAHA1MYudvo Tracing Stolen Bitcoin: Coming Soon nb. "Piggie-Share" is a made-up app. If you go off and create it, best of luck to you :) (just remember us when you're a billionaire on a beach!) Dr. Wilson: https://scholar.google.com/citations?user=WkLZuJsAAAAJ&hl=en https://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: https://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
Views: 58143 Computerphile
Using ChemSpider and Google APIs to deliver chemical searching of the web
 
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The ChemSpider database is a rich chemistry resource for the community. As a free resource ChemSpider provides access to data associated with over 28 million chemicals and acts as a hub to chemistry data across the web. The platform integrates experimental and predicted property data, spectral data, links to articles, patents and a myriad of other related data types. The platform offers a unique position in internet-based chemistry resources by allowing scientists to annotate, curate and deposit new data. We have been using the Google APIs for a number of years to give access to Google Books, Google Patents and Google Scholar. However, ChemSpider is a "complete" system with integration to over 400 data sources. The Google API integrations are scattered across a ChemSpider record. We have chosen to deliver a simpler solution exposing the Google API integration and we are showing this proof of concept here for the first time. The new interface is at http://www.chemspider.com/google
Views: 518 Antony Williams
Google Correlate Preview
 
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Google Correlate finds search patterns which correspond with real-world trends.
Views: 775 thelostagency
Abhishek Thakur - Classifying Search Queries Without User Click Data
 
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PyData Berlin 2016 This talk discusses how machine learning/data mining techniques can be applied to classify search terms that people use in search engines like Google, Bing, Yahoo etc. The talk focuses on machine learning techniques such as LSTM (long short term memory) rather than traditional ways like analysing user-behaviour with the help of their search logs. Traditionally, search queries are classified into different categories by analysing user-behavior with the help of search logs. Instead of focussing on the search logs and by analysing queries with the help of machine learning models such as LSTM, it is possible to get a very decent model to classify the search queries. This talk focuses majorly on LSTMs and their usefulness when it comes to search query classification. We also discuss how we can accurately classify search queries in hundreds of categories using open source data available online and how this can be combined with LSTMs to provide a much stable and better result.
Views: 1518 PyData
Google Correlate Tutorial & Demo By www.rennellgarrett.com
 
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This is Google Correlation a new tool used to find statistical significance between mutually exclusive search terms. For more information visit www.rennellgarrett.com
Views: 3121 vhukhgkgjcvjhm
How to Paraphrase Using Google Scholar.mov
 
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This video provides strategies for using Google Scholar Cited By to paraphrase a source in an essay or research paper.
Views: 85259 Mary Lourdes Silva
Machine Learning for Financial Data Extraction
 
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Fifth Elephant preview talk My publications: https://scholar.google.co.in/citations?user=S1r0PtAAAAAJ&hl=en My email ID: [email protected] LinkedIn page: https://www.linkedin.com/in/karthik-kumar-gali-39ba12172/
Views: 51 Karthik Gali
بالعربي Artificial Neural Networks (ANNs) Introduction + Step By Step Training Example
 
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Step by step explanation of how a single layer perceptron artificial neural network (ANN) got trained and tested using an example of RGB colors consisting of two classes (Red and Blue) with two samples per class. Weights modification is applied when the predicted class is different from the desired class. After training the network successfully, a new unlabeled sample got applied to the network to predict its class label. Neural Network Tutorial in Arabic. .شرح خطوة بخطوة بالعربي لكيفية تدريب وإختبار الشبكات العصبية الإصطناعية بعد الإنتهاء من تدريب الشبكة, نأتي للمرحلة التي من خلالها نتوقع تصنيف أحد العينات الغير معروف تصنيفها. Presentation used in the video is available in my SlideShare account: https://www.slideshare.net/AhmedGadFCIT/introduction-to-artificial-neural-network-stepbystep-training-testing-example لاى سؤال او لمزيد من المعلومات, قم بترك تعليقا او تواصل معي. أحمد فوزي جاد Ahmed Fawzy Gad قسم تكنولوجيا المعلومات Information Technology (IT) Department كلية الحاسبات والمعلومات Faculty of Computers and Information (FCI) جامعة المنوفية, مصر Menoufia University, Egypt Teaching Assistant/Demonstrator [email protected] Find me on: AFCIT http://www.afcit.xyz YouTube https://www.youtube.com/channel/UCuewOYbBXH5gwhfOrQOZOdw Google Plus https://plus.google.com/u/0/+AhmedGadIT SlideShare https://www.slideshare.net/AhmedGadFCIT LinkedIn https://www.linkedin.com/in/ahmedfgad/ ResearchGate https://www.researchgate.net/profile/Ahmed_Gad13 Academia https://menofia.academia.edu/Gad Google Scholar https://scholar.google.com.eg/citations?user=r07tjocAAAAJ&hl=en Mendelay https://www.mendeley.com/profiles/ahmed-gad12/ ORCID https://orcid.org/0000-0003-1978-8574 StackOverFlow http://stackoverflow.com/users/5426539/ahmed-gad Twitter https://twitter.com/ahmedfgad Facebook https://www.facebook.com/ahmed.f.gadd Pinterest https://www.pinterest.com/ahmedfgad/
Views: 36384 Ahmed Gad
Meet Research Scientists at Google
 
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From creating experiments and prototyping implementations to designing new architectures, Research Scientists work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, core search and more. Learn about our work, team culture, and what makes being a Research Scientist at Google so exciting. Check out open Research Scientist jobs → https://goo.gl/W16BbU Subscribe to Life at Google for more videos → https://goo.gl/kqwUZd Follow us! Twitter: https://goo.gl/kdYxFP Facebook: https://goo.gl/hXDzLf Google Plus: https://goo.gl/YBcMZK #LifeAtGoogle
Views: 26711 Life at Google
Sketch Recognition and Similarity Search
 
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official website: http://omar.ig.fpms.ac.be/ https://scholar.google.be/citations?user=Acl8KLoAAAAJ&hl=fr&oi=sra
Views: 78 omar seddati
HOW TO SELECT A RESEARCH TOPIC?
 
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Steps and rules to select research topic and how to write an effective research paper..!!! Google Scholar a best way to search authentic papers with years. https://scholar.google.com.pk Duckduckgo is Another search engine for study... https://duckduckgo.com For downloading research papers... https://sci-hub.tw For checking your paper journal is authentic or not? mjl.clarivate.com For referencing or citations... Mendeley Software... Subscribe my channel for getting more grip on research tools and research basics... For more research base videos... https://m.youtube.com/channel/UCLc4PqEqez3tp5qdCnbzqGA 😊😇👩🏻‍🎓👨🏻‍🎓 🇵🇰
Views: 36 Research Mania
How is data journalism changing the newsroom? | Bahareh Heravi | TEDxUCD
 
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What is "big data" ? How can "small data|" improve reporting, and how it can change communication with the public. The world is not coming to an end..... Dr Bahareh Heravi, is an Assistant Professor at the UCD School of Information and Communication Studies, where she is the founder and Programme Director of the new Data Journalism CPD programme. She is passionate about creating innovative data-driven solutions for the news industry, and helping journalists equip themselves with data skills required in the 21st century newsroom. Prior to joining UCD Dr Heravi was a Research Fellow and leader of Insight News Lab. She is also the former Lead Data Scientist at The Irish Times, where she spearheaded the Irish Times Data and led the paper’s R&D programme. In 2011 she was awarded Google’s ‘Women Techmakers’ Scholarship, an Award given to recognise outstanding young women scholars in computer science and related fields. Dr Heravi holds a PhD in Information Systems from Brunel University London. Twitter: @Bahareh360 This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Views: 1702 TEDx Talks
Google Books, the n-gram, and culturomics
 
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Anita Guerrini (Oregon State) examines Google Books, the n-gram, and culturomics On March 1st, 2013, the Horning Endowment for the Humanities and the School of History, Philosophy, and Religion at Oregon State University held the Digital Humanities Symposium. The digital humanities is concerned with the intersection of computing and the disciplines of the humanities. Some questions explored include: * How has the information revolution influenced humanistic study? * How have digital archives changed the way humanities scholars do research? * How does the internet change the way scholarship is disseminated? * What are the new tools that humanities scholars can use? Moderated by James Capshew (Indiana University), this event featured four scholars who explored aspects of the digital humanities in brief presentations. The four presenters included: Rob Iliffe (University of Sussex, UK and the Newton Project) asked whether new digital tools will mean new historical questions and practices. (THIS VIDEO) Anita Guerrini (Oregon State) examined Google Books, the n-gram, and culturomics Patrick McCray (UC Santa Barbara) discussed how scientists might be able to tell humanists something about "big data" and Dan Rosenberg (UO), who explored the difference between data and "data" Look for each video separately on our YouTube Channel! For more information on the OSU School of History, Philosophy, and Religion, visit us at: http://oregonstate.edu/cla/shpr
Internet Research Part 1: Google It
 
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Look at various Google products that can help you conduct preliminary research on a topic
Views: 1847 courtnje
Data Mining Paper Review
 
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Recorded with http://screencast-o-matic.com
Views: 119 venu gopal valeti
Matrix operations in R Studio
 
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Hello friends, Hope you all are doing awesome! R Studio is a free, opensource, easy to use tool for programming in R language. It is very useful. Using R is very easy, even for non-programmers This video is a part of a full free online course (list) designed for providing a quick and crisp glance of R Studio to new users/Beginners. The link for the full course is https://www.youtube.com/watch?v=W9mTvhaOuGQ&list=PLQwgsEqUFuOrX3PDhNFN42ZY35qiglTwY The target audience for this course is the first time users of R Studio who has no prior knowledge of R/Rstudio/Programming. They could be from any discipline (management, social science, environmental science, etc.). This is a very basic course which will enable you to explore further for the use of R Studio as per your needs. This is not for the people who are already using R/Rstudio. There is no prerequisite for this course. It is very simple and FREE. The R Script used in the videos could be downloaded from YouTube Channel Tab of my website: https://sites.google.com/site/sarveshwarinani/vid There are lots of videos on R/Rstudio on YouTube and other websites. However, this course is unique and it has some advantages. Here, all videos regarding the introduction of R-Studio are presented in an organised and systematic manner like a formal course. Videos are short and crisp to save your precious time. At the end of this course you would be able to learn: The layout and the interface of R-Studio How to use basic mathematical functions in R? Types of data in R How to generate variables in R? Difference between vector, matrix, data frame, and List objects How to import and export data? How to do simulation or bootstrapping? How to generate patterned data (rep, seq)? How to install and remove packages? Hope this course would be useful for you. Subscribe the channel for such updates Please visit my blog: http://learningeconometrics.blogspot.in/ My website https://sites.google.com/site/sarveshwarinani/ See my research on my Google Scholar profile https://scholar.google.co.in/citations?user=RIelyLEAAAAJ&hl=en Drop your queries/feedback on: [email protected]
Views: 764 Sarveshwar Inani
EFC SC R Google scholar
 
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Google Scholar 16 jul 15-- Created using PowToon -- Free sign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Machine Learning for Human Decision Making - Jure Leskovec
 
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Abstract: In many real-life settings human judges are making decisions and choosing among many alternatives: Medical doctor deciding a treatment for a patient, criminal court judge making a decision about a defendant, a crowd-worker labeling an image, and a student answering a multiple-choice question. Gaining insights into human decision making is important for determining the quality of individual decisions as well as identifying human mistakes and biases. In this talk we discuss the question of developing machine learning methodology for estimating the quality of individual judges and obtaining diagnostic insights into how various judges decide on different kinds of items. We develop a series of increasingly powerful hierarchical Bayesian models, which infer latent groups of judges and items with the goal of obtaining insights into the underlying decision process. We apply our framework to a wide range of real-world domains, and demonstrate that our approach can accurately predict judge’s decisions, diagnose types of mistakes judges tend to make, and infer true labels of items. Bio: Jure Leskovec is assistant professor of Computer Science at Stanford University and chief scientist at Pinterest. Computation over massive data is at the heart of his research and has applications in computer science, social sciences, economics, marketing, and healthcare. This research has won several awards including a Lagrange Prize, Microsoft Research Faculty Fellowship, the Alfred P. Sloan Fellowship, and numerous best paper awards. Leskovec received his bachelor's degree in computer science from University of Ljubljana, Slovenia, and his PhD in in machine learning from the Carnegie Mellon University and postdoctoral training at Cornell University. You can follow him on Twitter @jure. Stanford Page: https://cs.stanford.edu/people/jure/ LinkedIn: https://www.linkedin.com/in/leskovec Twitter: https://twitter.com/jure Coursera: https://www.coursera.org/instructor/jurel Video Lectures: http://videolectures.net/jure_leskovec/ Google Scholar Citations: https://scholar.google.com/citations?user=Q_kKkIUAAAAJ
Views: 417 IU Data Science
Google Algorithm Update, Webspam Report, Fred Poll, Chrome, Home & More
 
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https://www.SERoundtable.com/ - This week, I covered how there likely was a Google search algorithm update on April 17th. Google released their web spam report for 2016 sharing some interesting numbers. I released a poll asking if you were hit by the Google Fred update and many many have taken the poll. Google said the mobile first index may impact the overall Google link graph. Moz says HTTPS is now in 50% of the Google results. Google said you can use the info command to find your canonical URL. 90% of SEOs achieve success within a year. Google is testing a suggested clip video answer feature that jumps to the right spot in the video. Google tests a new design for tags in the snippets. Chrome may get an ad blocker. Google My Business adds the ability to download your insights in bulk. Google Home can now handle multiple users and detect voices. That was this week in search at the Search Engine Roundtable. Was There A Google Algorithm Update On April 17th & 18th? : https://www.seroundtable.com/google-algorithm-update-23724.html Google More Than Doubles The Manual Actions Penalties In 2016 : https://www.seroundtable.com/google-webspam-report-23720.html Poll: You Or Your Clients Hit By The Google Fred Algorithm? : https://www.seroundtable.com/poll-google-fred-algorithm-23715.html Google Mobile-First Index Will Have Some Affect On Link Graph : https://www.seroundtable.com/google-mobile-first-index-affect-link-graph-23712.html Mozcast: 50% Of Google Search Results Are HTTPS : https://www.seroundtable.com/mozcast-50-percent-google-https-23722.html Google: Use Info Command To Find Canonical URL : https://www.seroundtable.com/google-info-command-canonical-url-23713.html 90% Of SEOs Achieve Ranking Success Within A Year : https://www.seroundtable.com/seo-success-poll-23714.html Google Tests Suggested Clip Videos In Search Results : https://www.seroundtable.com/google-suggested-clip-video-23727.html Google Tries New Design For Tags In Search Snippets : https://www.seroundtable.com/google-tags-in-search-snippets-23721.html WSJ: Google Chrome To Add Ad Blocker By Default : https://www.seroundtable.com/google-chrome-default-ad-blocker-23729.html Google My Business Adds Bulk Download Insights Analytics : https://www.seroundtable.com/google-my-business-download-insights-23730.html Google Home Now Can Detect & Respond To Different Voices : https://www.seroundtable.com/google-home-multiple-users-23735.html
Views: 1700 rustybrick
Women Techmakers Summit: NY - My Personal Story, and My Work at Google Research with Corinna Cortes
 
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Corinna Cortes is the Head of Google Research, NY, where she is working on a broad range of theoretical and applied large-scale machine learning problems. Corinna speaks about how she got into the tech world, and some work that is happening within the Research team at Google. Prior to Google, Corinna spent more than ten years at AT&T Labs - Research, formerly AT&T Bell Labs, where she held a distinguished research position. Corinna's research work is well-known in particular for her contributions to the theoretical foundations of support vector machines (SVMs), for which she jointly with Vladimir Vapnik received the 2008 Paris Kanellakis Theory and Practice Award, and her work on data-mining in very large data sets for which she was awarded the AT&T Science and Technology Medal in the year 2000. Corinna received her MS degree in Physics from University of Copenhagen and joined AT&T Bell Labs as a researcher in 1989. She received her Ph.D. in computer science from the University of Rochester in 1993. Corinna is also a competitive runner and a mother of twins.
Views: 3081 Google Developers
Defining the Digital Humanities
 
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Digital humanities scholars are a diverse group whose work is the result of cross-pollination among humanities scholarship, computer science, and digital media. Many well-known digital humanities projects apply tools borrowed from computer science—such as data-mining or geographic information systems—to works of literature, historical documents, and other materials traditionally in the domain of the humanities. What do digital humanities scholars see as the potential of this interdisciplinary field? And what are the important theoretical and methodological contributions digital humanities can offer to both the humanities and the sciences Panelists: Daniel J. Cohen, Assoc. Professor of History and Director of the Center for History and New Media (CHNM) at George Mason University. Federica Frabetti, Senior Lecturer in the Communication, Media, and Culture Program at Oxford Brookes University. Dino Buzzetti recently retired from the Dept. of Philosophy at the University of Bologna.
Views: 12420 Columbia
Building Distributed TensorFlow Using Both GPU and CPU on Kubernetes [I] - Zeyu Zheng
 
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Building Distributed TensorFlow Using Both GPU and CPU on Kubernetes [I] - Zeyu Zheng & Huizhi Zhao, Caicloud Big Data and Machine Learning have become extremely hot topics in recent years. Google has announced its AI-centric strategy and released the deep learning toolkit TensorFlow. TensorFlow soon became the most popular open source toolkit for deep learning applications. However, it may take years to train large deep learning models on a single machine without GPU. In order to accelerate the training process, we build a distributed TensorFlow system on Kubernetes which support both CPUs and GPUs. In this presentation, I’d like to share our experiences about how to build this distributed TensorFlow system on Kubernetes. First, I'll briefly introduce TensorFlow and how TensorFlow supports training model distributedly. However, the original distribution mechanism lacks lots of components such as scheduling, monitoring, life cycle managing and etc. to make it suitable for production usage. In the rest of the presentation, I'll focus on how to leverage Kubernetes to solve those problem. The solution involves three components. First, I'll introduce how to schedule TensorFlow jobs in a cluster with both CPUs and GPUs. Then I'll share our experience in managing the life cycle of a distributed TensorFlow job. Finally, I'll state our efforts in lowering the bar for using distributed TensorFlow About Huizhi Zhao Software Engineer, Caicloud About Zeyu Zheng Zeyu is chief data scientist and co-founder at Caicloud which provides Cloud and Big Data related services. He leads the efforts to build reliable and scalable data analysis and machine learning platforms like Hadoop, Spark and TensorFlow on Kubernetes. His team has developed Machine Learning applications like image classification, time series prediction, which has helped well-known Chinese enterprises to utilize machine learning based on Kubernetes in production. Before I co-founded Caicloud, Zeyu worked for Google Shopping for almost three years. He proposed and leads the efforts in building structured product cluster data which is an essential part to trigger Knowledge Card product ads on google.com. Zeyu obtained his Master’s degree at School of Computer Science at Carnegie Mellon University (CMU). He was named Siebel Scholar, which only awards 93 graduate students from world’s leading graduate schools based on outstanding academic performance and leadership. During his internship at Microsoft Research Asia, he published several papers and delivered academic speeches at top Data Mining conferences like SIGIR and ICDM.
Mining Big Data to Understand the Link Between Facial Features and Personality
 
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This presentation features Michal Kosinski, Stanford University. It is one of four presentations from the Big Data: Vast Opportunities for Psychological Insight symposium, presented at the 16th Annual Society for Personality and Social Psychology Convention. The big data revolution is upon us. Enormous samples, even entire populations, are being studied through cheap and varied means, presenting a powerful new lens to understand human behavior. In this invited session, leading scholars in economics, computer science, and psychology provide a glimpse into what big data can reveal.
Mining a document in Web of Science
 
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Web of Science is a powerful sciences and social sciences database with several advantages over Google Scholar. First, it only contains journals that have a credible peer-review process. Second, it’s easier to mine a single document for more of these reliable sources of information. This video explains how to use the citation function in Web of Science to get additional articles.
Know More Now - Searching Smarter in Google - captioned
 
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Think you have a handle on Google's advanced search tools? We did too, until we discovered that there are even more tricks to learn!
Views: 3070 Luria Library
Algorithms for Data Management and Migration
 
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Google Tech Talks January, 23 2008 ABSTRACT I will describe some algorithms for addressing some fundamental optimization problems that arise in the context of data storage and management. In the first part of the talk we will address the following question: How should we store data in order to effectively cope with non-uniform demand for data? How many copies of popular data objects do we need? Where should we store them for effective load balancing? In the second part of the talk we will address the issue of moving data objects quickly, to react to changing demand patterns. We will develop approximation algorithms for these problems. The first part of the talk is joint work with Golubchik, Khanna,Thurimella and Zhu. The second part is joint work with Kim and Wan. Speaker: Samir Khuller Samir Khuller received his M.S and Ph.D from Cornell University in 1989 and 1990, respectively. He spent 2 years as a Research Associate at the Institute for Advanced Computer Studies at the University of Maryland, before joining the Computer Science Department in 1992, where he is a Professor and Associate Chair in the Department of Computer Science. His research interests are in graph algorithms, discrete optimization, and computational geometry. He has published about 130 journal and conference papers, and several book chapters on these topics. He received the National Science Foundation's Career Development Award, the Dean's Teaching Excellence Award and also a CTE-Lilly Teaching Fellowship. In 2003, he and his students were awarded the "Best newcomer paper" award for the ACM PODS Conference. He received the University of Maryland's Distinguished Scholar Teacher Award in 2007.
Views: 14344 GoogleTechTalks
What is MICROSOFT ACADEMIC SEARCH? What does MICROSOFT ACADEMIC SEARCH mean?
 
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What is MICROSOFT ACADEMIC SEARCH? What does MICROSOFT ACADEMIC SEARCH mean? MICROSOFT ACADEMIC SEARCH meaning - MICROSOFT ACADEMIC SEARCH definition - MICROSOFT ACADEMIC SEARCH explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Microsoft Academic Search was a research project and academic search engine retired in 2012. Microsoft launched a search tool called Windows Live Academic Search in 2006 to directly compete with Google Scholar. It was renamed Live Search Academic after its first year and then discontinued two years later. In 2009, Microsoft Research Asia Group launched a beta tool called Libra in 2009, which was for the purpose of algorithms research in object-level vertical search, data mining, entity linking, and data visualization. Libra was redirected to the MAS service by 2011 and contained 27.2 million records for books, conference papers, and journals. Although largely functional, the service was not intended to be a production website and ceased to be developed, as was originally intended when the research goals of the project had been met. The service stopped being updated in 2012., The fact that this decline was not reported on earlier indicated to the authors that the service was largely ignored by academics and bibliometricians alike. In July 2014, Microsoft Research announced that Microsoft Academic was evolving from a research project to a production service, and would be integrating with Microsoft's flagship search engine, Bing, and its intelligent personal assistant service, Cortana. “By growing Microsoft Academic Search from a research effort to production,” Wang says, “our goal is to make Bing-powered Cortana the best personal research assistant for our users"
Views: 39 The Audiopedia
Machine Intelligence at Google - Dan Aharon @ Google (Heb)
 
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The Google approach to Machine Learning and how other companies can benefit from it. Demos of ML products (e.g., Cloud NL API, Cloud Speech API, api.ai) And we’ll have Q&A time at the end of the session. Bio: Dan Aharon - Product Manager at Google, Cloud speech API and Google’s new bots platform - api.ai. Pre Google Dan worked at McKinsey & Company as a consultant for High-Tech and software companies working on Go-To-Market strategy and Product road maps. Dan was also one of the founders of Mckinsey’s IoT practice and co-authored McKinsey’s Global Institute report, The Internet of Things: Mapping the value beyond the hype. Dan graduated from Columbia Business school with an MBA, and has a degree in Computer Science from the open university of Israel.
Views: 419 GDG Cloud Tel-Aviv

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