Machine Learning: Master Supervised and Unsupervised Learning ...
Sep 17, 2021 · Learn to select the best Machine Learning algorithm for a given problem. Get a stronghold in using popular Python libraries like Scikit-learn, pandas, and matplotlib. Practice …
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15 Best Machine Learning Books to Read in 2025 - DataCamp
May 31, 2024 · After reading the book, you’ll be ready to discuss all kinds of topics related to machine learning, including supervised and unsupervised learning, the most popular machine …
Fundamentals of Supervised Machine Learning - Springer
Presents the fundamental notions of supervised machine learning; Provides a balance between the theory and applications of machine learning using Python, R, and Stata; Fosters an …
Machine Learning Foundations: Supervised, Unsupervised, and …
Feb 13, 2021 · This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of …
The Best Supervised Learning Books of All Time - BookAuthority
The best supervised learning books recommended by Kirk Borne and Lars Kai Hansen, such as Machine Learning, Learning with Kernels and Grokking Machine Learning.
5 Free Books on Machine Learning Algorithms You Must Read
Apr 21, 2025 · In this blog, we will explore five free books designed to enhance our understanding of machine learning algorithms. These books come with code examples, detailed diagrams, …
Machine Learning Algorithms[Book] - O'Reilly Media
In this book you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as …
Supervised Learning with Python: Concepts and Practical
Gain a thorough understanding of supervised learning algorithms by developing use cases with Python. You will study supervised learning concepts, Python code, datasets, best practices, …
3 Supervised Machine Learning | part of Practical Guide to Machine …
Supervised machine learning algorithms are meticulously explained, with practical examples to illustrate their application. The book covers logistic regression and its use in predicting sports …
about this book - Machine Learning Algorithms in Depth
Chapter 7 presents a selected set of supervised learning algorithms, including Markov models, such as page rank algorithms and hidden Markov models; imbalanced learning strategies; …
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