Amazon just launched ‘Machine Learning University’ to all developers. It is the same training available for internal Amazon Employees. If you are looking to learn about Amazon Web Services (AWS) offerings for data science, now might be a great time to learn. Plus, Amazon announced some new certifications for machine learning.
There are 4 different learning paths available, depending upon your goals and future job aspirations:
- Business Decision Maker
- Data Scientist
- Data Platform Engineer
The course materials and certifications are available at AWS Machine Learning Training Site.
Reinforcement Learning: An Introduction by Rich Sutton and Andrew Barto was recently released on October 15, 2018. The authors were kind enough to put a late draft version of the book online as a PDF. If you are hoping to learn about Reinforcement Learning, this is a great place to start.
Full text is available on a Google Drive at Reinforcement Learning. Take a look.
Good Luck and Happy Learning.
This month, The Data Incubator is hosting another free webinar on data science. This time it features an interview with Jake Porway, founder of DataKind. Jake and DataKind are doing amazing things, so I hope you can check out the webinar.
Below are the webinar details:
Data Science in 30 Minutes: Using Data Science in the Service of Humanity
Abstract: With his non-profit, DataKind, Jake Porway connects data scientists with social causes. Picture Doctors Without Borders for data nerds—with machine learning and AI engineers parachuting in to help the UN with humanitarian tasks, like tracking virus outbreaks using mobile data. “Data is like a bucket of crude oil,” Porway says. “Potentially great, but only if someone knows how to refine it (data scientists) and someone else has vehicles that will run on it (the social sector).” In this talk, Porway discusses the strategies of DataKind, its projects and the future of big data to service humanity.
The free online webinar is:
Thu, November 15, 2018 @ 5:30 PM – 6:30 PM EST
You can register at Data Science in 30 minutes.