- Machine Learning
- Computer Vision
- Amazon Sagemaker
The competition site Kaggle has recently released some micro-courses aimed at helping people to quickly learn the skills of data science. It is called Kaggle Learn, Faster Data Science Education. It includes courses on:
Check them out to quickly get up to speed. Happy Learning.
Recently updated, is the March 2019 Machine Learning Study Path. It contains links and resources to learn Tensorflow and Scikit-Learn.
If you are interested in details on the study path and how to best use the resources. There is a livestream on Facebook, Sunday March 17 on the Math for Data Science Facebook page.
Machine Learning for Kids is a site for children and teachers to explore machine learning with the Scratch Programming language. It includes numerous lessons and tutorials for building fun programs which incorporate machine learning.
Brandon Rohrer (along with others) created an excellent resource for academic programs, Industry recommendations for academic data science programs. The resource is authored by a number of industry data scientists and university faculty. It is collection of useful information for college data science programs. Here are some of the topics:
Plus, the site is growing, and new information is frequently being added. If your college/university is launching a data science program, this resource is a must read.
A new community for data visualization professionals has launched. It is called the Data Visualization Society. According to the website,
The Data Visualization Society aims to collect and establish best practices and foster community to support its members as they develop their data visualization skills.
Currently, membership is free and they are looking for help growing the community. If data visualization is your thing, this society is worth exploring.