This guide to machine learning takes a solid, concept-rich, yet highly practical approach. Author Giuseppe Bonaccorso covers the whats and whys of machine learning algorithms and their implementation. The book is aimed at IT professionals who want to enter the field of data science and are very new to machine learning. Familiarity with languages such as R and Python will be invaluable.
<ASIN:1785889621>
Author: Giuseppe Bonaccorso Publisher: Packt Date: July 2017 Pages: 360 ISBN: 978-1785889622 Print: 1785889621 Kindle: B072QBG11J Audience: IT professionals Level: Intermediate Category: Artificial Intelligence
- Acquaint yourself with important elements of Machine Learning
- Understand the feature selection and feature engineering process
- Assess performance and error trade-offs for Linear Regression
- Build a data model and understand how it works by using different types of algorithm
- Learn to tune the parameters of Support Vector machines
- Implement clusters to a dataset
- Explore the concept of Natural Processing Language and Recommendation Systems
- Create a ML architecture from scratch.
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SQL Server 2022 Query Performance Tuning (Apress)
Author: Grant Fritchey Publisher: Apress Pages: 745 ISBN:978-1484288900 Print:1484288904 Kindle:B0BLYD98SQ Audience: DBAs & SQL Devs Rating: 4.7 Reviewer: Ian Stirk
A popular performance tuning book gets updated for SQL Server 2022, how does it fare?
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Programming with Rust
Author: Donis Marshall Publisher: Addison-Wesley Pages: 400 ISBN: 978-0137889655 Print: 0137889658 Kindle: B0CLL1TGVT Audience: Programmers wanting to learn Rust Rating: 3 Reviewer: Mike James Rust is the language we all want to learn at the moment so this is just in time.
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