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5 Best Machine Learnings of 2026

Last Updated - 2026/01/31

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MIT Press
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Probabilistic Machine Learning: Advanced Topics

MIT Press

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2

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MIT Press

Reinforcement Learning, second edition: An Introduction

MIT Press

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3
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O'Reilly
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

O'Reilly

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- Use scikit-learn to track an example ML project end to end
- Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning
- Explore several models, including support vector machines, decision trees, random forests, and ensemble methods
- Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection
- Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers
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O'Reilly
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

O'Reilly

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5

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Packt Publishing

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Packt Publishing

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5 Best Machine Learnings of 2026

Probabilistic Machine Learning: Advanced Topics

Reinforcement Learning, second edition: An Introduction

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

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