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Can I read Mastering Machine Learning Algorithms : Expert Techniques for Implementing Popular Machine Learning Algorithms, Fine-tuning Your Models, and Understanding How They Work, 2nd Edition on EtoBox?

Mastering Machine Learning Algorithms : Expert Techniques for Implementing Popular Machine Learning Algorithms, Fine-tuning Your Models, and Understanding How They Work, 2nd Edition by Bonaccorso, Giuseppe is a science book available to read on EtoBox.

What is Mastering Machine Learning Algorithms : Expert Techniques for Implementing Popular Machine Learning Algorithms, Fine-tuning Your Models, and Understanding How They Work, 2nd Edition about?

**An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms****Key Features**- Explore statistics and complex mathematics for data-intensive applications- Discover new developments in EM algorithm, PCA, and bayesian regression- Study patterns and make predictions across various datasets**Book Description**Machine learning has gained tremendous popularity for its powerful and fast predictions with large datasets. However, the true forces behind its powerful output are the complex algorithms involving substantial statistical analysis that churn large datasets and generate substantial insight.This second edition of Machine Learning Algorithms walks you through prominent development outcomes that have taken place relating to machine learning algorithms, which constitute major contributions to the machine learning process and help you to strengthen and master statistical interpretation...

Who reads Mastering Machine Learning Algorithms : Expert Techniques for Implementing Popular Machine Learning Algorithms, Fine-tuning Your Models, and Understanding How They Work, 2nd Edition?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Bonaccorso, Giuseppe
Publisher
Packt Publishing Limited
Published
2020
Language
EN
ISBN
9781838821913
Category
science
Subjects
Science, Programming, Computer Science
Rating
4.3 / 5 (59 ratings)
Updated
2026-03-14

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