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Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines

Hands-On Machine Learning with ML.NET: Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#

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

Hands-on PyTorch: Learn Core Concepts, Build Real Models, and Optimize Performance (Mastering Deep Learning & Machine learning)

Hands-on PyTorch: Learn Core Concepts, Build Real Models, and Optimize Performance (Mastering Deep Learning & Machine learning)

Hands-On Ensemble Learning with Python: Build highly optimized ensemble machine learning models using scikit-learn and Keras

AI and Machine Learning for Finance: A Practical Hands-on Approach Using Python

Hands-On Applied Machine Learning with Python: Build Intelligent Systems Using Scikit-Learn, Keras, and TensorFlow

Hands-On Quantum Machine Learning With Python: Volume 2: Combinatorial Optimization

Hands-On Supervised Machine Learning with Python: Master Regression, Classification, and Predictive Modeling Using Scikit-Learn

Hands-On Applied Machine Learning with Python: Build Intelligent Systems Using Scikit-Learn, Keras, and TensorFlow

H2O.ai in Practice: Hands-On Techniques for Scalable Machine Learning, Interpretation, and Deployment

PRACTICAL MACHINE LEARNING FUNDAMENTALS USING PYTHON: Learn Essential ML Concepts, Algorithms, Data-Driven Thinking, and Hands-On Applications Step by ... (The Practical AI & Machine Learning Series)

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