From PyData Amsterdam, April 2017. Giovanni Lanzani gives a talk on the Data Science Process and where things can go wrong.
[Continually Updated] MastersInDataScience.org has culled together a list of 23 of the best US Universities/Colleges that offer a Masters in Data Science. Read More
This article is several years old, but it’s still very relevant today. I get asked this question all the time by students. Hope you find it helpful. – Ted
“This list of 500+ was started in 2012, updated in 2014 and also very recently according to the author. It was compiled by 101.datascience.community, and broken down by degree (master / bachelor / certificate / doctorate) and location (online / on-site.)” – Source Data Science Central Read More
Next Tuesday (April 19th), Metis’s 6 Week program “Intro to Data Science” begins. It runs Tuesday and Thursday evenings from 6:30pm – 9:30pm in midtown NYC. I was at the Open House last week and will be attending.There are a couple of seats left. Love the lead instructor Sergey Fogelson. Read More
UPDATED | 2016 Interactive University Map of Data Science / Analytics Academic Programs
Click on the interactive map of the USA to learn more about specific programs. Each red dot on the map links to a Data Informed article on the program, or other online resources with more information. Data Informed expect to keep it updated to check back with their site. Read More
Watch 2 Lectures on building Recommender Systems using Machine Learning given by the Director of Research/Engineering at Netflix at Carnegie Mellon University this Summer.
Its 2 parts at 2 hours each, touches on what is practical and important, and worthwhile if you have an interest in personalization and recommender algorithms. Watch Lectures
More learning “Will Hunting” style, take a view at this FREE VIDEO course at MIT: Introduction to Algorithms. Take note of the prerequisites.
Lecture #1 has had over 450,000 views. Read More…”
UPDATED: The Data Science Report has created a new section “PhD PREDICTION PROJECTS!” In this section we are going to profile interesting predictive analytics projects by “up and coming” PhD and Masters students/recent grads.
Our first project looks at Eric Chalmer’s computer model that uses Machine Learning to predict the outcome and how much to wager on MMA/UFC fights. While initially a hobby, his algo’s have performed remarkably well (total return of 160%+) during the first 10 months and we’re tracking his predictions here. Read More
Hakka Labs has a very compelling video of Dr Chris Wiggin’s, Chief Data Scientist at the NYTimes and Columbia University Academic. He will talk about using machine learning and large data in both academia and in business.
He shares some ways re-framing domain questions as machine learning tasks has opened up new avenues for understanding both in academic research and in real-world applications. Read More