An Introduction to R and Python for Data Analysis (CRC Press)
Monday, 10 July 2023

This book sets out to teach students to code in both R and Python simultaneously. Taylor R. Brown presumes no prior experience with computing, and the book is intended to be used by students from a variety of backgrounds. The "Side-By-Side Approach" subtitle refers to the use of layout to help readers grasp the basics of R and Python. Exercises are provided to help students to teach themselves the skills they will need.

<ASIN:1032203250>

Author: Taylor R. Brown
Publisher: Chapman and Hall/CRC
Date: June 2023
Pages: 246
ISBN: 978-1032203256
Print: 1032203250
Kindle: B0C2PTPR22
Audience: General
Level: Introductory/Intermediate
Category: Data Science

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Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)

Author: Oswald Campesato
Publisher: Mercury Learning
Date: February 2020
Pages: 300
ISBN: 978-1683924678
Print: 1683924673
Kindle: B084P1K9YP
Audience: Developers interested in machine learning
Rating: 4
Reviewer: Mike James

Another AI/ML book - is there room for another one?



Wild West To Agile (Addison-Wesley)

Author: Jim Highsmith
Publisher: Addison-Wesley
Pages: 304
ISBN: 978-0137961009
Print: 0137961006
Kindle: B0BXWP88KP
Audience: Adherents of Agile methodology
Rating: 4.5
Reviewer: Alex Denham

The subtitle of this book is Adventures in Software Development Evolution and Revolution and it is personal reminin [ ... ]


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