You are a HUGE football fan. Every week you pick winners in an NFL pick-em’ league. Somehow, all that fan experience doesn’t translate into consistently winning your league. Perhaps you need a more systematic approach that takes some of the emotion out of it. Where to start? Betting spreads provide a consistent and robust mechanism for encapsulating the variables and predicting outcomes of NFL games. In a weekly confidence pool, spreads also perform very well as opposed to intuition-based guessing and “knowledge” from years of being a fan. Can we do better? In this talk, we will discuss an approach to use machine learning algorithms to make improvements on the spread method of ranking winners on a weekly basis as an exercise in winning your friendly neighborhood confidence pool. https://datadialogs.ischool.berkeley.edu/2016/schedule/using-machine-learning-predicting-nfl-games . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Amit Bhattacharyya Senior Data Scientist Teachers Pay Teachers Amit is the Senior Data Scientist at Teachers Pay Teachers, an online marketplace for teachers to buy, sell and share original educational resources. At TpT, Amit works on developing both technical and modeling infrastructure to analyze customer behavior and ways to more effectively connect buyers and sellers. Amit also teaches in the MIDS program at the UC Berkeley School of Information. He received a Ph.D. in physics from Indiana Universtiy. Previously, he did a two-year stint in advertising, and worked as a quantitative [More]
Recorded on Mar 23 at GCP NEXT 2016 in San Francisco Speakers (in order of appearance): Click on the time links to skip ahead to the speakers you would like to hear from. [0:08] Sundar Pichai, CEO Google [4:50] Diane Greene, SVP, Google [20:57] Eric Schmidt, Executive Chairman, Alphabet [40:43] Urs Hölzle, SVP, Technical Infrastructure, Google [56:00] Brian Stevens, VP, Google Cloud Platform [56:50] Alan Boehme, CTO, The Coca-Cola Company [1:03:50] Greg Wilson, Head of Developer Advocacy, Google Cloud Platform [1:10:38] Greg Demichillie, Director, Google Cloud Platform [1:25:40] Mike White, CTO & SVP, Disney Interactive [1:31:07] Greg Demichillie, Director, Google Cloud Platform (Demo) [1:39:28] Brian Stevens, VP, Google Cloud Platform (Data Products) [1:42:42] Nicholas Harteau, VP, Infrastructure, Spotify [1:58:43] Jeff Dean, Senior Fellow, Google
Text to speech (Speak) in Microsoft word 2016 – How to enable.. That’s the video all about.. Text to speech option or popularly called as voice recognition or speak was an Option that is used to read text inside the document in Microsoft Word 2016.. If you wish to enable the text to speech then just follow the steps shown in the above video.. Comment if you have any doubts.. Thanks for watching.
Stanford Winter Quarter 2016 class: CS231n: Convolutional Neural Networks for Visual Recognition. Lecture 4. Get in touch on Twitter @cs231n, or on Reddit /r/cs231n.
Rajesh Shetty, Sridhar, Ankit Rawal, Sundar Ramakrishna and Sameer Dhanarajani at the Institute of Product Leadership talk about technology trends..Disruptions in the market happen everyday as new products, be it technology, facility or service get introduced. They disrupt the market with their success, failure or the change they bring among the consumers. This change, like Steve Jobs’ iPod brought into the market is the disruption every product manager has to be on the lookout for. It is the necessary threat that pushes product leaders to continually innovate and nurture the competitive edge. If you are an aspiring product manager, watch this video to get an exclusive education in industry trends and the constantly changing market. For more information on our upcoming events, visit our website: https://www.productleadership.com/events/ The Institute of Product Leadership (IPL) takes pride in constantly churning out content that is contemporary, written by subject matter experts and which delves into the world of Technology Management; Product Marketing; Data Science, Big Data, Digital Marketing, Design Thinking; User Design; User Experience; Entrepreneurship, Product Management, Machine Learning and Artificial Intelligence on regular basis. Stay on top of your industry by interacting with us on our social channels: Follow us on Instagram: https://www.instagram.com/product_leadership Like us on Facebook: https://www.facebook.com/prodleader/ Follow us on Twitter: https://twitter.com/prodleader Follow us on LinkedIn: https://www.linkedin.com/school/institute-of-product-leadership/
Tech Day // Pause Fest 2016 What are the social, economic, political and ethical questions that we should ask in the face of rapid growth in AI technology? Does AI represent a brilliant opportunity, or could it be humanity’s last invention? Featuring Bradley Paton – Reactive, Joanna L. Batston – IBM Research-Australia, Prof Mary-Anne Williams – UTS, Toby Walsh – CSIRO. Pause Fest is the premier creative tech conference for Asia Pacific. A catalyst for innovation, a uniter of industries, a platform for the future. Pause Fest stands for the content you can’t Google. Find out more at www.pause.melbourne Filming by oldsaltmedia.com
This presentation took place at the RE•WORK Deep Learning Summit in San Francisco on 28-29 January 2016: https://re-work.co/events/deep-learning-sanfran-2016 Multimodal Question Answering for Language and Vision Deep Learning has made tremendous breakthroughs possible in visual understanding and speech recognition. Ostensibly, this is not the case in natural language processing (NLP) and higher level reasoning. However, it only appears that way because there are so many different tasks in NLP and no single one of them, by itself, captures the complexity of language. I will talk about dynamic memory networks for question answering. This model architecture and task combination can solve a wide variety of visual and NLP problems, including those that require reasoning. Richard Socher is the CEO and founder of MetaMind, a startup that seeks to improve artificial intelligence and make it widely accessible. He obtained his PhD from Stanford working on deep learning with Chris Manning and Andrew Ng and won the best Stanford CS PhD thesis award. He is interested in developing new AI models that perform well across multiple different tasks in natural language processing and computer vision. He was awarded the Distinguished Application Paper Award at the International Conference on Machine Learning (ICML) 2011, the 2011 Yahoo! Key Scientific Challenges Award, a Microsoft Research PhD Fellowship in 2012 and a 2013 “Magic Grant” from the Brown Institute for Media Innovation and the 2014 GigaOM Structure Award.
Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Visit our website at http://bigdata.stanford.edu/.
Rodney Brooks, the chairman of Rethink Robotics and the former director of the MIT Artificial Intelligence Lab, and Nicholas Thompson, editor of newyorker.com, examine the current state of robotics and A.I. They will cover the problems that robots can and can’t solve and the future effect that robots will have on our economy and our personal lives. They’ll also tackle concerns about the dangers of artificial intelligence, and the ways that robots and A.I. could change the nature of warfare. Dr. Brooks will describe his decades of research into this field and his suggestions for policies that will best help humanity handle the changes that advances in robotics are bringing about. Subscribe: http://www.youtube.com/user/sxsw?sub_confirmation=1 About SXSW: Started in 1987, South by Southwest (SXSW) is a set of film, interactive, and music festivals and conferences that take place early each year in mid-March in Austin, Texas. SXSW’s original goal was to create an event that would act as a tool for creative people and the companies they work with to develop their careers, to bring together people from a wide area to meet and share ideas. That continues to be the goal today whether it is music, film or interactive technologies. Connect with SXSW Online: Visit the SXSW WEBSITE: http://www.sxsw.com Like SXSW on FACEBOOK: http://www.facebook.com/SXSWFestival Follow SXSW on TWITTER: http://www.twitter.com/SXSW http://www.youtube.com/user/SXSW
Komatsu demonstrating their intelligent machine control system, two Komatsu PC210LCi-10 excavators, side by side working with and with out machine control, at the Bauma 2016 expo in Germany. Come and follow us on Facebook… https://www.facebook.com/ArEs7210
Learn more on our blog: http://nvda.ly/WUV2T. NVIDIA CEO Jen-Hsun Huang describes the platforms NVIDIA is providing for PCs, drones, in the cloud or in cars to bring artificial intelligence to the world, at the Consumer Electronics Show 2016 in Las Vegas.
In this talk, I will introduce the audience to the emerging area of computational social science, focusing on how machine learning for social science differs from machine learning in other contexts. I will present two related models — both based on Bayesian Poisson tensor decomposition — for uncovering latent structure from count data. The first is for uncovering topics in previously classified government documents, while the second is for uncovering multilateral relations from country-to-country interaction data. Finally, I will talk briefly about the broader ethical implications of analyzing social data. Hanna Wallach is a Senior Researcher at Microsoft Research New York City and an Adjunct Associate Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst. She is also a member of UMass’s Computational Social Science Institute. Hanna develops machine learning methods for analyzing the structure, content, and dynamics of social processes. Her work is inherently interdisciplinary: she collaborates with political scientists, sociologists, and journalists to understand how organizations work by analyzing publicly available interaction data, such as email networks, document collections, press releases, meeting transcripts, and news articles. To complement this agenda, she also studies issues of fairness, accountability, and transparency as they relate to machine learning. Hanna’s research has had broad impact in machine learning, natural language processing, and computational social science. In 2010, her work on infinite belief networks won the best paper award at the Artificial Intelligence and Statistics conference; in 2014, she was named one of Glamour magazine’s “35 Women [More]
Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Visit our website at http://bigdata.stanford.edu/.
Presentation slides: http://www.slideshare.net/SessionsEvents/nikhil-garg-engineering-manager-quora-at-mlconf-sf-2016 Building a Machine Learning Platform at Quora: Each month, over 100 million people use Quora to share and grow their knowledge. Machine learning has played a critical role in enabling us to grow to this scale, with applications ranging from understanding content quality to identifying users’ interests and expertise. By investing in a reusable, extensible machine learning platform, our small team of ML engineers has been able to productionize dozens of different models and algorithms that power many features across Quora. In this talk, I’ll discuss the core ideas behind our ML platform, as well as some of the specific systems, tools, and abstractions that have enabled us to scale our approach to machine learning.
Artificial Intelligence in Creative Writing www.mlprague.com Slides: http://www.slideshare.net/mlprague/ji-materna-artificial-intelligence-in-creative-writing
Creative Innovation 2016 Asia Pacific (Ci2016) “The Exponential Shift: Making Transformation Happen” http://creativeinnovationglobal.com.au Martin Ford is a leading expert on the robot revolution, artificial intelligence, job automation and the impact of accelerating technology on the economy and society. He is the founder of a Silicon Valley-based software development firm and the author of two books: New York Times bestselling Rise of the Robots: Technology and the Threat of a Jobless Future and The Lights in the Tunnel: Automation, Accelerating Technology and the Economy of the Future. He has over 25 years of experience in computer design and software development, and holds a computer engineering degree from the University of Michigan, Ann Arbor and a graduate business degree from UCLA. In this interview, Martin points out the disruptive impact technology is going to have on the job market. He hopes to offer real solutions for everyone to thrive in an era of disruption. Creative Innovation 2016 Asia Pacific was held on the 7-9th November, 2016. The central theme of this year will was ‘The Exponential Shift:making transformation happen’. The event this year showcased world changing innovators, disruptors, futurists, scientist, inspired thinkers and curious souls gathered together in an interactive community. Creative Innovation 2016 Asia Pacific is the premiere conference for anyone who cares about creativity, innovation, leadership and transformation. Ci2016 delivered world class creative and exponential thinking, innovation leadership and pragmatic solutions. Offered credible forecasts, strategies and practices to help transform you and prepare the leadership of organisations for disruption in [More]
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sans.org/dfirsummit Two useful disciplines are cyber threat intelligence and active cyber defense. However, there is confusion around both of these areas that leads to a perception of hype and cost instead of vital tools for defenders to use. In the case of threat intelligence, many security companies have offered a range of threat intelligence products and feeds but there is confusion in the community as a whole as to how to maximize the value out threat intelligence. With active defense, there has been an attempt to brand this strategy as a hack-back or otherwise offense based practice whereas the strategy for an active defense has existed long before the word ‘cyber’ and is focused around practices such as incident response. This presentation will examine the current state of cyber threat intelligence and active cyber defense as well as provide strategies for leveraging proven cyber intelligence models within active cyber defense operations Speakers: Robert M. Lee (@robertmlee), Author & Instructor, SANS Institute Robert M. Lee is a SANS Certified Instructor and the course author of SANS ICS515: Active Defense and Incident Response and the co-author of SANS FOR578: Cyber Threat Intelligence. Robert is also CEO of Dragos Security, a non-resident National Cyber Security Fellow at New America focusing on policy issues relating to the cybersecurity of critical infrastructure, and a PhD candidate at Kings College London. For his research and focus areas, he was named one of Passcode’s Influencers and awarded EnergySec’s 2015 Cyber Security Professional of the Year. Robert obtained [More]
14:00-14:20 Jes Frellsen, University of Cambridge Bayesian generalised ensemble Markov chain Monte Carlo 14:20-14:40 Adam Scibior, University of Cambridge Probabilistic programming with effect systems 14:40-15:00 Andy Gordon, Microsoft Research Fabular: Regression Formulas as Probabilistic Programming 15:00-15:20 John Hong, University of Cambridge Comparing Matrix Factorization algorithms on a level playing field
Keynote on Artificial Intelligence by Dr. Joseph Reger, Chief Technology Officer and Fujitsu Fellow, EMEIA. Watch more from Joseph Reger at Fujitsu Forum: https://www.youtube.com/playlist?list=PL4xLeOXURIlX03fwBaJZYLC1SLW2PFen4
This presentation took place at the Machine Intelligence Summit in November 2016. View more videos from the event here: http://videos.re-work.co/events/10 #reworkMI Why AI Must Be Biased, and How We Can Respond Like physics and biology, computation is a natural process with natural laws. We are making radical progress in artificial intelligence because we have learnt to exploit machine learning to capture existing computational outputs developed and transmitted by humans with human culture. This powerful strategy unfortunately undermines the assumption that machined intelligence, deriving from mathematics, would be pure and neutral, providing a fairness beyond what is present in human society. In learning the set of biases that constitute a word’s meaning, AI also learns patterns some of which are based on our unfair history. Addressing such prejudice requires domain-specific interventions. Joanna J. Bryson is a transdisciplinary researcher on the structure and dynamics of human- and animal-like intelligence. Her research covers topics ranging from artificial intelligence, through autonomy and robot ethics, and on to human cooperation. She holds degrees in Psychology from Chicago (AB) and Edinburgh (MPhil), and Artificial Intelligence from Edinburgh (MSc) and MIT (ScD). She has additional professional research experience from Oxford, Harvard, and LEGO, and technical experience in Chicago’s financial industry, and international organization management consultancy. Bryson is presently a Reader (associate professor) at the University of Bath, and an affiliate of Princeton’s Center for Information Technology Policy.
The Dawn of Artificial Intelligence (with Stuart Russell) – Waking Up With Sam Harris #53
Siri vs Google Assistant: Battle of the smartphone voice assistants! Dat hoodie: http://amzn.to/2eax0mK Top 5 Android 7.1 Features: https://youtu.be/mOwYlhUbsko Video Gear I use: http://kit.com/MKBHD/video-gear#recommendation17959 Intro Track: Ongoing Thing by 20syl, Oddisee ~ http://twitter.com/MKBHD http://snapchat.com/add/MKBHD http://google.com/+MarquesBrownlee http://instagram.com/MKBHD http://facebook.com/MKBHD
Stuart Russell argues for a fundamental reorientation of the field artificial intelligence. Click here to watch the full keynote http://oreil.ly/1YSpwEh Subscribe to O’Reilly on YouTube: http://goo.gl/n3QSYi Follow O’Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia