startup.ml
Fellows — Startup.ML
https://startup.ml/new-gallery-1/rn6nlqzq03lccpey1jgx1vw6qqmo9n
Alex Chao, Uber ATC. I studied Statistics and Computer Science at the University of California, Berkeley and have had stints doing data mining at Unity Technologies, teaching data science at General Assembly, and doing machine learning and statistics research for the Haas School of Business and the School of Public Health at Berkeley. Rewon Child, Enlitic. Fluent in Japanese and reading proficiency in Mandarin. Marjorie Sayer, CloudGenix. There's value in your data, and I'd love to help you find it.
startup.ml
Fellows — Startup.ML
https://startup.ml/new-gallery-1/wpnatw20l1zxsk7va7r4qz34hf7o04
Alex Chao, Uber ATC. I studied Statistics and Computer Science at the University of California, Berkeley and have had stints doing data mining at Unity Technologies, teaching data science at General Assembly, and doing machine learning and statistics research for the Haas School of Business and the School of Public Health at Berkeley. Rewon Child, Enlitic. Fluent in Japanese and reading proficiency in Mandarin. Marjorie Sayer, CloudGenix. There's value in your data, and I'd love to help you find it.
startup.ml
Challenge — Startup.ML
https://startup.ml/challenge
A little effort goes a long way! We require fellows to work on a small challenge problem to assess problem solving and coding capabilities. Select a problem from the list below. Ideally perform your analysis in a jupyter notebook. Post the notebook on Github and submit your results. Some hints for hacking our challenge:. Ask yourself why would they have selected this problem for the challenge? What are some gotchas in this domain I should know about? What feature engineering might help improve the signal?
startup.ml
Fellows — Startup.ML
https://startup.ml/new-gallery-1/khyis5l039md8anovu5rgu5yw65oq6
Alex Chao, Uber ATC. I studied Statistics and Computer Science at the University of California, Berkeley and have had stints doing data mining at Unity Technologies, teaching data science at General Assembly, and doing machine learning and statistics research for the Haas School of Business and the School of Public Health at Berkeley. Rewon Child, Enlitic. Fluent in Japanese and reading proficiency in Mandarin. Marjorie Sayer, CloudGenix. There's value in your data, and I'd love to help you find it.
startup.ml
Fellows — Startup.ML
https://startup.ml/new-gallery-1/vca7vp5uc39nbo8sgkm06x3l8ag982
Alex Chao, Uber ATC. I studied Statistics and Computer Science at the University of California, Berkeley and have had stints doing data mining at Unity Technologies, teaching data science at General Assembly, and doing machine learning and statistics research for the Haas School of Business and the School of Public Health at Berkeley. Rewon Child, Enlitic. Fluent in Japanese and reading proficiency in Mandarin. Marjorie Sayer, CloudGenix. There's value in your data, and I'd love to help you find it.
startup.ml
Fellows — Startup.ML
https://startup.ml/fellows
Apr 11, 2015. Apr 11, 2015. Alex Chao, Uber ATC. Apr 11, 2015. Apr 11, 2015. Apr 11, 2015. Apr 11, 2015. May 4, 2015. May 4, 2015. Rewon Child, Enlitic. May 4, 2015. May 4, 2015. May 4, 2015. May 4, 2015. Jul 8, 2015. Jul 8, 2015. Marjorie Sayer, CloudGenix. Jul 8, 2015. Jul 8, 2015. Jul 8, 2015. Jul 8, 2015. Mar 8, 2015. Mar 8, 2015. Daniel Saltiel, Engineers Gate. Mar 8, 2015. Mar 8, 2015. Mar 8, 2015. Mar 8, 2015. Jul 16, 2015. Jul 16, 2015. Eric Wayman, Pivotal. Jul 16, 2015. Jul 16, 2015. Nov 1, 2015.
startup.ml
Fellows — Startup.ML
https://startup.ml/new-gallery-1/t4ziigjcjkvtjenw2t4cir64ckl6re
Alex Chao, Uber ATC. I studied Statistics and Computer Science at the University of California, Berkeley and have had stints doing data mining at Unity Technologies, teaching data science at General Assembly, and doing machine learning and statistics research for the Haas School of Business and the School of Public Health at Berkeley. Rewon Child, Enlitic. Fluent in Japanese and reading proficiency in Mandarin. Marjorie Sayer, CloudGenix. There's value in your data, and I'd love to help you find it.
thomaswdinsmore.com
Big Analytics Roundup (July 6, 2015) | The Big Analytics Blog
https://thomaswdinsmore.com/2015/07/06/big-analytics-roundup-july-6-2015
The Big Analytics Blog. News and Analysis on High-Performance Analytics. July 6, 2015 —. Thomas W. Dinsmore. Big Analytics Roundup (July 6, 2015). If you’re wondering about the picture, it’s a 1958 Edsel Roundup. In an O’Reilly video, mad scientist Paco Nathan introduces. Advanced math for business people. The team at startup.ml. Called Deep Learning News, which aggregates blog posts, articles and other related content. VentureBeat writes. 100 Big Data architecture papers. How to do them fast with Python.
deeplearning.net
Reading List « Deep Learning
http://deeplearning.net/reading-list
Deep Learning Research Groups. ICML 2013 Challenges in Representation Learning. Deep Learning Job Listings. 8230; moving beyond shallow machine learning since 2006! List of reading lists and survey papers:. Yoshua Bengio, Ian Goodfellow, Aaron Courville, MIT Press, In preparation. Representation Learning: A Review and New Perspectives. Yoshua Bengio, Aaron Courville, Pascal Vincent, Arxiv, 2012. The monograph or review paper Learning Deep Architectures for AI. Vol 385). Springer. 8221; ArXiv e-print, 2014.
