A List of Data Science and Machine Learning Resources
From the post:
Every now and then I get asked for some help or for some pointers on a machine learning/data science topic. I tend respond with links to resources by folks that I consider to be experts in the topic area. Over time my list has gotten a little larger so I decided to put it all together in a blog post. Since it is based mostly on the questions I have received, it is by no means complete, or even close to a complete list, but hopefully it will be of some use. Perhaps I will keep it updated, or even better yet, feel free to comment with anything you think might be of help.
Also, when I think of data science, I tend to focus on Machine Learning rather than the hardware or coding aspects. If you are looking for stuff on Hadoop, or R, or Python, sorry, there really isn’t anything here.
A bit more specific advice than “just do it,” which may helpful to many readers.
The first resource is Professor Gilbert Strang’s video lectures on Linear Algebra.
Factoid: Strang’s Introduction to Linear Algebra, Forth Edition (2009), lists new at Amazon for $60.49. The cheapest used copy goes for $53.90. Not bad for a textbook that is four years old this year.
I first saw this at: Free Online Resources: Bone Up on Your Data Science and Machine Learning by Angela Guess.