My new book, Probability and Statistics for Data Science: Math + R + Data, pub. by the CRC Press, was released on June 24!

This book arose from an open-source text I wrote and have been teaching from. The open source version will still be available, though rather different from the published one.

This is a math stat book, but different from all others, as the subtitle states: Math + R + Data. Even the topic ordering is rather different, with a goal of bringing in data science-relevant material as early as possible.

Valuable book hits the sweet spot between computation, math and stats. I’m finding the topic mix to be well thought out. Is there a list of corrections, perhaps on the way?

Dear Norman Matloff, I know you are working on The Art of Data Science and regtools, but maybe one of your students can post his solutions to the exercises in PSforDS.

I do have some solutions, at heather.cs.ucdavis.edu/PSDS. It’s true that I need more. If there are any problems of particular interest to you, I’ll write those up right away.

Congrats and thanks for the new book! By the way, or do we find the open source material?? 😛

heather.cs.ucdavis.edu/probstatbook

Valuable book hits the sweet spot between computation, math and stats. I’m finding the topic mix to be well thought out. Is there a list of corrections, perhaps on the way?

Thanks so much for the kind words. I definitely want to set up an Errata site. If you find any, please let me know!

Hi, I have recently started your book, and I am really enjoying it! Are the solutions of the exercises available somewhere?

Thank you very much!

Marco

See heather.cs.ucdavis.edu/PSDS Being developed slowly.

Thank you very much, I appreciate it!

My background is not on maths and stats so the solutions are really helpful for feedback.

wondering where can I find the solution to the exercise at the end of each chapter?

Which book?

Dear Norman Matloff, I know you are working on The Art of Data Science and regtools, but maybe one of your students can post his solutions to the exercises in PSforDS.

I do have some solutions, at heather.cs.ucdavis.edu/PSDS. It’s true that I need more. If there are any problems of particular interest to you, I’ll write those up right away.

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