Machine Learning Books

409 books

MLE

MLE

Xiaotian Zhu

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Modern Data Engineering for LLMs: Architect, Automate, and Optimize Data Pipelines for AI Systems

Modern Data Engineering for LLMs: Architect, Automate, and Optimize Data Pipeli…

Alira Vexel

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Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas

Modern Time Series Forecasting with Python: Industry-ready machine learning and…

Manu Joseph Jeffrey Tackes

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Multimodal RAG Systems: A Project-Based Guide to Building Production-Grade Generative AI with Text and Images

Multimodal RAG Systems: A Project-Based Guide to Building Production-Grade Gene…

Jude Max

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Multimodal RAG with Gemini Embedding 2: Production Pipelines for Text, Image, Video, and Audio Retrieval

Multimodal RAG with Gemini Embedding 2: Production Pipelines for Text, Image, V…

Adam Seebeck

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Murach's Python for Data Science

Murach's Python for Data Science

Scott Mccoy

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Neural Networks: An Essential Beginners Guide to Artificial Neural Networks and Their Role in Machine Learning and Artificial Intelligence

Neural Networks: An Essential Beginners Guide to Artificial Neural Networks and…

Herbert Jones

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ONNX for Beginners: A Step-by-Step Guide to Model Interoperability and Deployment

ONNX for Beginners: A Step-by-Step Guide to Model Interoperability and Deployment

Haider Koele

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OpenAI GPT For Python Developers: The art and science of developing intelligent apps with OpenAI GPT-3, DALL·E 2, CLIP, and Whisper - Suitable for learners of all levels

OpenAI GPT For Python Developers: The art and science of developing intelligent…

Aymen El Amri

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Optimization and Learning via Stochastic Gradient Search (Princeton Series in Applied Mathematics)

Optimization and Learning via Stochastic Gradient Search (Princeton Series in A…

Professor Felisa Vázquez-Abad Bernd Heidergott

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Optimization-Driven Deep Reinforcement Learning for Wireless Networks

Optimization-Driven Deep Reinforcement Learning for Wireless Networks

Shimin Gong Dusit Niyato Bo Gu Kaibin Huang

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Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control

Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control

Steven L. Brunton

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Partial Discharge Recognition Using Artificial Neural Network

Partial Discharge Recognition Using Artificial Neural Network

Muzamir Isa Mohamad Nur Khairul Hafizi Rohani Faizah Abu Bakar

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Patterns, Predictions, and Actions: Foundations of Machine Learning

Patterns, Predictions, and Actions: Foundations of Machine Learning

Moritz Hardt Benjamin Recht

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PCA for Data Science: Practical Dimensionality Reduction Techniques Using Python and Real-World Examples

PCA for Data Science: Practical Dimensionality Reduction Techniques Using Pytho…

Paul Benson

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Physics-Aware Machine Learning for Integrated Energy Systems Management (Advances in Intelligent Energy Systems)

Physics-Aware Machine Learning for Integrated Energy Systems Management (Advanc…

Mohammadreza Daneshvar Behnam Mohammadi-Ivatloo Kazem Zare Jamshid Aghaei

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Practical Deep Learning, 2nd Edition: A Python-Based Introduction

Practical Deep Learning, 2nd Edition: A Python-Based Introduction

Ronald T. Kneusel

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Practical Full Stack Machine Learning: A Guide to Build Reliable, Reusable, and Production-Ready Full Stack ML Solutions (English Edition)

Practical Full Stack Machine Learning: A Guide to Build Reliable, Reusable, and…

Alok Kumar

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Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images

Practical Machine Learning for Computer Vision: End-to-End Machine Learning for…

Valliappa Lakshmanan Martin Görner Ryan Gillard

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Practical Machine Learning with Rust: From Foundational Algorithms to High-Performance Artificial Intelligence Applications

Practical Machine Learning with Rust: From Foundational Algorithms to High-Perf…

Brandon L. Bates

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Practical MLOps: Operationalizing Machine Learning Models

Practical MLOps: Operationalizing Machine Learning Models

Noah Gift Alfredo Deza

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Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series)

Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machi…

Kevin P. Murphy

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Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)

Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machi…

Kevin P. Murphy

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Probability and Statistics Essentials for Data Science and Machine Learning: 200+ examples and figures

Probability and Statistics Essentials for Data Science and Machine Learning: 20…

Simit Tomar Ajay Thakur

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