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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Object-Oriented Python
Author: Irv Kalb Publisher: No Starch Press Date: January 2022 Pages: 416 ISBN: 978-1718502062 Print: 1718502060 Kindle: B0957SHYQL Audience: Python developers Rating: 3 Reviewer: Mike James Python, Object-Oriented? Not a lot of programmers know that!
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Python Crash Course, 3rd Ed (No Starch Press)
Author: Eric Matthes Publisher: No Starch Press Pages: 552 ISBN: 978-1718502703 Print: 1718502702 Kindle: B09WJX22TV Audience: People wanting to learn Python Level: Introductory/Intermediate Audience: Not the complete beginner Rating: 4 Reviewer: Alex Armstrong To reach a third edition this [ ... ]
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