Books like Machine Learning by Peter Wolfinger


First publish date: 2020
Authors: Peter Wolfinger
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Machine Learning by Peter Wolfinger

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Books similar to Machine Learning (6 similar books)

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by 8245430|Aurélien Géron book cover

📘 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow teaches practitioners to build intelligent systems with Python, covering core machine learning, deep learning, and TensorFlow 2 tools.

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The Elements of Statistical Learning by 12158869|Trevor Hastie book cover

📘 The Elements of Statistical Learning

The Elements of Statistical Learning explains key statistical methods that underlie modern machine learning, data mining, and bioinformatics, covering supervised and unsupervised learning techniques such as classification trees, neural networks, and support vector machines.

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Deep Learning by 11775475|Ian Goodfellow book cover

📘 Deep Learning

Deep Learning is a comprehensive textbook that equips students and practitioners with the foundational knowledge and practical skills needed to enter the fields of machine learning and deep learning.

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Introduction to Machine Learning with Python by 11655721|Andreas C. Mueller book cover

📘 Introduction to Machine Learning with Python


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Pattern Recognition and Machine Learning by 8824929|Christopher M. Bishop book cover

📘 Pattern Recognition and Machine Learning


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An Introduction to Statistical Learning by 7184749|Gareth James book cover

📘 An Introduction to Statistical Learning

An Introduction to Statistical Learning offers a practitioner‑friendly guide to modern statistical learning methods, including linear regression, classification, resampling, shrinkage, tree‑based models, SVMs, and clustering, with R tutorials and real‑world examples.

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Some Other Similar Books

Pattern Recognition and Machine Learning by Chris Bishop
Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz, Shai Ben-David
Machine Learning Yearning by Andrew Ng
Reinforcement Learning: An Introduction by Richard S. Sutton, Andrew G. Barto
Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz, Shai Ben-David
Machine Learning Yearning by Andrew Ng
Foundations of Machine Learning by Mohammad Ghavamzadeh, Csaba Szepesvári

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