Stanford Artificial Intelligence Event (2017 Plenary Session) @ SAIL

Live stream for the Stanford AI event (2017 Plenary Session)  scheduled from 8:30 am – 5:30 pm PST Agenda: 8:00AM - 8:30AM Registration & Breakfast 8:30AM - 9:00AM Welcome Presented by Department and Plenary Session Chairs Mendel Rosenblum,Stanford Alex Aiken,Stanford Abbas El Gamal,Stanford Fei-Fei Li, Stanford 9:00AM - 9:20AM Seeing is Understanding, Fei-Fei Li,Stanford 9:20AM...

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Machine Learning & Cognitive AI - Technical Training Modules & Content

Microsoft Research, Microsoft DX and Community has open sourced tons of demos and hands on labs covering Data Science, AppDev, Azure, Cognitive Services, Data Lake, Big Data and much more. This is to equip the community with content to influence. Azure Training Course https://github.com/MSRConnections/Azure-training-course/tree/master/Content Microsoft Imagine https://github.com/MSFTImagine/computerscience Technical Community Content. https://github.com/Microsoft/TechnicalCommunityContent  

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Notes from Microsoft Machine Learning and Data Science Summit - Day 2

Microsoft Machine Learning and Data Science Summit promised to connect Big Data engineers, Data Scientists, Machine Learning practitioners and managers to share best practices, to Dive deep & learn, and to facilitate Think big & execute fast ideas. In my experience, the summit met majority of its goals and it was a great start. Microsoft has graciously made majority...

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Notes from Microsoft Machine Learning and Data Science Summit - Day 1

Microsoft Machine Learning & Data Science Summit is taking place in conjunction with Microsoft Ignite at Georgia World Congress Center. Today, day 1 started with keynote by Dr. Joseph Sirosh who identified three axes of innovation along with various customer case studies. Thought leaders and Microsoft engineers discuss the latest Big Data, Machine Learning, Artificial Intelligence,...

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R tidyverse, dplyr and ggplot2 at Tampa Bay Data Science Group

At Tampa Bay Data Science Group, this month Dr. Thomas Keller presented on intro to the R tidyverse: dplyr,ggplot2, and some Twitter conference data visualization. Two other good dplyr/ggplot resources is this blog post (https://rollingyours.wordpress.com/2016/07/19/dplyr-and-zika-epilogue/ ) and this recent JSM talk by Jim Horton (https://github.com/Amherst-Statistics/JSM2016-thinkwithR/blob/master/jsm2016-horton.pdf ) Here are links to the slides ( http://thomas-keller.github.io/talks/intro_ggplot_twitter_conf_20160808.pdf ) , R...

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A Workable Definition of Data Science

John Foreman in, Data Smart: Using Data Science to Transform Information into Insight works towards a A Workable Definition of Data Science, which is definitely an excellent read. To an extent, data science is synonymous with or related to terms like business analytics, operations research, business intelligence, competitive intelligence, data analysis and modeling, and knowledge extraction (also called knowledge...

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