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In May 2019, Joel Grus updated his 2015 book called, "Data Science from Scratch: First Principles with Python" which provides a great overview of Predictive Analytics/AI/ML all written in Python. The Second Edition is more up to date on data science topics and uses Python 3.6. You can get this O'Reilly book from the web or a bookstore, as well as an e-book (there are lots of figures, so a hardcopy might be best). Like many technical books, it's a bit pricey: $60 US and $80 CAN. It's a great book covering lots of important topics. For more details, see: https://www.amazon.com/Data-Sc...8&me=&qid=1563193225This message has been edited. Last edited by: FP Mod Chuck, Sincerely, Doug Lautzenheiser Multiple products (FOCUS, WebFOCUS, iWay), releases (4-8.2), platforms (e.g., MVS, OpenVMS, Linux, iSeries, Windows), databases (e.g., Oracle, SQL Server, DB2, IMS, Hyperstage, etc.), integrated technologies (e.g., C/C++, R, Python) Currently doing great things on WF8.2 | ||
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I just bought the paperback for $35 on Amazon. Thanks for the information. (Wow - It's been a while since I used this account - 7.6.4 on XP???) In FOCUS since 1980 | |||
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Thanks for pointing out that bargain, Michael. Amazon is selling the brand new Second Edition copy for $35 even while showing the back cover with the $59.99 price! Sincerely, Doug Lautzenheiser Multiple products (FOCUS, WebFOCUS, iWay), releases (4-8.2), platforms (e.g., MVS, OpenVMS, Linux, iSeries, Windows), databases (e.g., Oracle, SQL Server, DB2, IMS, Hyperstage, etc.), integrated technologies (e.g., C/C++, R, Python) Currently doing great things on WF8.2 | |||
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I am enrolled in a Masters of Data Analytics: Machine Learning that leads to a PhD in Data Science. The textbook used for two of the best courses in the program was: Discovering Statistics Using R: ISBN 978-1-4462-0045-2. I think you can find it on Amazon for about $50 new in paperback and it is about 1,000 pages of 0 to 100mph in R programming. When I am a little more established in data science, I plan on reviewing public syllabi from MIT and other leading schools - I have found the textbooks listed as required readings in their public syllabi are excellent resources. | |||
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If you need to understand the statistics behind data science, here is a great O'Reilly book that does a good job of explaining basic concepts while showing examples in the R language: Practical Statistics for Data Scientists: 50 Essential Concepts By Peter Bruce & Andrew Bruce ISBN 978-1-491-95296-2 Sincerely, Doug Lautzenheiser Multiple products (FOCUS, WebFOCUS, iWay), releases (4-8.2), platforms (e.g., MVS, OpenVMS, Linux, iSeries, Windows), databases (e.g., Oracle, SQL Server, DB2, IMS, Hyperstage, etc.), integrated technologies (e.g., C/C++, R, Python) Currently doing great things on WF8.2 | |||
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