Hands-On Genetic Algorithms with Python: Apply genetic algorithms to solve real-world AI and machine learning problems
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Elements of Causal Inference - Foundations and Learning Algorithms
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Evolutionary Deep Learning: Genetic Algorithms and Neural Networks
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Grokking Artificial Intelligence Algorithms: Understand and Apply the Core Algorithms of Deep Learning and Artificial Intelligence in This Friendly Illustrated Guide Including Exercises and Examples
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Analysis of Reinforcement Learning Algorithms for Swarm Learning: A Rough Set Approach
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Understanding Machine Learning: From Theory to Algorithms
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Practical Machine Learning with Rust: From Foundational Algorithms to High-Performance Artificial Intelligence Applications
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Understanding Machine Learning: From Theory to Algorithms – Cambridge University Press
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Learning Genetic Algorithms with Python – Empower Machine Learning & AI Models – English Edition
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Quantum Machine Learning: Quantum Algorithms and Neural Networks (Quantum Computing)
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Machine Learning In Bioinformatics Of Protein Sequences: Algorithms, Databases And Resources For Modern Protein Bioinformatics
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Foundations of Machine Learning: A Practitioner's Journey - From Mathematical Foundations to Classical Algorithms: 1
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The Unsupervised Learning Workshop – Get started with unsupervised learning – Packt Publishing
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Probably Approximately Correct: Nature's Algorithms for Learning and Prospering in a Complex World
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Guide to Competitive Programming: Learning and Improving Algorithms Through Contests (Undergraduate Topics in Computer Science)
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Machine Learning Refined – Foundations, Algorithms, and Applications – Cambridge University Press
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Graph Machine Learning – Apply machine learning to graph data – Packt Publishing
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Numerical Methods for Machine Learning: Optimization, Stability, and Algorithms
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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms (2nd New edition)
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40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python
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Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions (Pragmatic Programmers)
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Machine Learning From Scratch: Intuition, Math and Code of ML Algorithms
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The Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning Algorithms, 2nd Edition
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Algorithms for Reinforcement Learning – Synthesis Lectures on AI & ML – Springer Verlag
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Deep Learning Pocket Reference Guide: A quick pocket reference guide to a collection of deep learning algorithms and key terms
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Learning JavaScript Data Structures and Algorithms: Hone your skills by learning classic data structures and algorithms in JavaScript, 2nd Edition
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Quantum Machine Learning:: Bridging Qubits and Algorithms for the Next AI Revolution
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Guide to Competitive Programming: Learning and Improving Algorithms Through Contests (Undergraduate Topics in Computer Science)
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