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Books like Machine Learning by Mohssen Mohammed


First publish date: 2016
Genre: Technology & Computing/Artificial Intelligence
Authors: Mohssen Mohammed
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Machine Learning by Mohssen Mohammed

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Books similar to Machine Learning (14 similar books)

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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 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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Machine learning by 4295122|Ethem Alpaydin book cover

📘 Machine learning
 by Ethem Alpaydin

A clear, concise guide to the fundamentals of machine learning, the branch of artificial intelligence that designs computer programs capable of learning from data and underpinning modern technologies like recommendation systems, face‑recognition, and autonomous vehicles.

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📘 Pattern Recognition and Machine Learning
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Machine Learning with R by 11847790|Brett Lantz book cover

📘 Machine Learning with R
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A practical guide to building machine‑learning algorithms, preparing data, and applying advanced prediction techniques using R.

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Machine learning by 11625846|Peter A. Flach book cover

📘 Machine learning
 by Peter A. Flach

A comprehensive textbook on machine learning that combines state‑of‑the‑art methods with hundreds of worked examples and clear explanations for both novices and experienced readers.

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📘 Machine learning
 by Ryszard S. Michalski


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Data Mining and Machine Learning by 7698555|Mohammed Zaki book cover

📘 Data Mining and Machine Learning
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Some Other Similar Books

Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
Artificial Intelligence: A Modern Approach by Stuart Russell, Peter Norvig
Data Mining: Practical Machine Learning Tools and Techniques by Ian H. Witten, Eibe Frank, Mark A. Hall
Reinforcement Learning: An Introduction by Richard S. Sutton, Andrew G. Barto

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