As the use of GPUs continues to rise in fields like deep learning, we thought it would be useful to readers not yet familiar with this technology to offer the “Introduction to GPU Computing” presentation below.
Architecting Predictive Algorithms for Machine Learning
February 4, 2016 by Leave a Comment
In the presentation below, Seth Juarez of DevExpress discusses architecting predictive algorithms for machine learning.
Using Excel Versus Using R
January 21, 2016 by Leave a Comment
Trying to show the data analysis package R is no more scary than Excel, John Mount of the Win-Vector blog shows a simple analysis both in Excel and in R.
Data Science 101: Recursive Deep Learning
January 9, 2016 by Leave a Comment
In the talk below, Recursive Deep Learning for Modeling Compositional and Grounded Meaning, Richard Socher, Founder, MetaMind describes deep learning algorithms that learn representations for language that are useful for solving a variety of complex language tasks.
Statistics for Hackers
January 8, 2016 by Leave a Comment
In this slide deck presentation below, Jake VanderPlas, discusses how you can use your coding skills to “hack statistics” – to replace some of the theory and jargon with intuitive computational approaches such as sampling, shuffling, cross-validation, and Bayesian methods.
Data Science 101: Deep Learning – Theory and Applications
December 22, 2015 by Leave a Comment
Deep Learning is a hot topic in statistical learning and many data scientists are seeking a place to start. Here is a presentation from the July 23rd SF Machine Learning Meetup at the Workday Inc. San Francisco office. The featured speaker is Ilya Sutskever.
Topological Data Analysis for the Working Data Scientist
November 28, 2015 by Leave a Comment
The talk below, “Topological Data Analysis for the Working Data Scientist” was presented at the SF Data Mining meetup group. Speaker Anthony Bak begins with a short review of the Mapper algorithm and discuss how to think about problems in the topological framework.
Andrew Ng Talks Deep Learning at Bay Learn 2015
November 16, 2015 by Leave a Comment
In this short presentation, Dr. Andrew Ng (world renowned deep learning luminary, Chief Scientist of Baidu; Chairman and Co-Founder of Coursera; Stanford CS faculty) talks about what’s going on with deep learning and how it is rapidly changing the problem domains that can be addressed with machine learning. In particular, Ng announces a deep learning […]
TensorFlow: Second Generation Deep Learning System
November 15, 2015 by Leave a Comment
Jeff Dean of Google presented this talk at BayLearn 2015. “In this talk, I’ll highlight some of the lessons we have learned in using our first-generation distributed training system and discuss some of the design choices in our second-generation system. I’ll then discuss ways in which we have applied this work to a variety of problems in Google’s products, usually in close collaboration with other teams.”
Data Science & Analytics at Birchbox
November 5, 2015 by Leave a Comment
Liz Crawford, CTO of Birchbox, presented at Data Driven NYC in October 2015. She gave a behind-the-scenes look at Birchbox’s Data Science & Analytics practice.
