Kevin Hughes used TensorFlow to train a Neural Network to play MarioKart. He calls it TensorKart. See his post for more details. It is a nice blog post and sounds like a fun project.
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Georgia Tech University just announced a new online master’s degree in Analytics.
Georgia Tech Creates First Online Master of Science in Analytics Degree for Less Than $10,000
The degree will begin in August 2017 and will be fully online. It will offer 3 tracks:
- Big Data
- Analytical Tools
- Business Analytics (coming at a later date)
Deep Learning Summer School, Montreal 2016 is aimed at graduate students and industrial engineers and researchers who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research. If that is you, there are plenty of videos to help you learn more.
The Association for Computing Machinery is hosting a Town Hall with Peter Norvig on A.I., Machine Learning, and More. Peter Norvig is the Research Director at Google, and a leader in the field of Artificial Intelligence (AI). Topics he might discuss:
- deep learning
- future of AI
- teaching AI
- academia vs industry
- advice for grad students
The free webinar is Thursday, December 08, 2016 at noon Eastern time.
In data science and statistics, probability distributions can be very important. I have been meaning to create a listing of them. However, I no longer need to since the fine folks at Cloudera have already created a list at Common Probability Distributions: The Data Scientist’s Crib Sheet.
Learn the distributions and pick a favorite. (My favorite of the common ones is the normal distribution. I also like the Cauchy distribution which is much less common.)
Our World in Data is data visualization site for exploring the history of civilization. The site was created by Max Roser. Our World in Data contains tons of information about many aspects of people’s lives. It also includes numerous visuals (like the one below) which can be easily shared or embedded on other sites.
Beware, the site is addicting, and you might spend a lot of time exploring data.