Hands-On Genetic Algorithms with Python: Apply genetic algorithms to solve real-world AI and machine learning problems
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Fundamentals of Machine Learning: Algorithms and Applications in C++
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Understanding Machine Learning: From Theory to Algorithms – Cambridge University Press
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Machine Learning and Security – Protecting Systems with Data and Algorithms
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Machine Learning In Bioinformatics Of Protein Sequences: Algorithms, Databases And Resources For Modern Protein Bioinformatics
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Quantum Machine Learning: Quantum Algorithms and Neural Networks (Quantum Computing)
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Foundations of Machine Learning: A Practitioner's Journey - From Mathematical Foundations to Classical Algorithms: 1
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Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics
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Machine Learning Mathematics: Understanding the Calculus and Algebra Behind the Algorithms
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Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics
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Machine Learning Mathematics: Understanding the Calculus and Algebra Behind the Algorithms
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Machine Learning Refined – Foundations, Algorithms, and Applications – Cambridge University Press
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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms (2nd New edition)
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Decoding Machine Learning: Understanding algorithms through math and Python implementation (English Edition)
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Machine Learning: The Art and Science of Algorithms that Make Sense of Data
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Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python
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ADVANCED SIGNAL PROCESSING: Theory, Algorithms, Statistical Methods, Machine Learning, and Hardware Implementation
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Understanding Machine Learning: From Theory to Algorithms
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The Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning Algorithms, 2nd Edition
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Mastering Classification Algorithms for Machine Learning: Learn how to apply Classification algorithms for effective Machine Learning solutions (English Edition)
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Machine Learning with Python: Neural Networks, Algorithms, Deep Learning (De Gruyter Textbook)
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Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk
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Machine Learning Demystified: A Practical Guide to Understanding Algorithms, from Random Forests to Support Vector Machines
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The Machine Learning Book for Beginners: Learn AI fundamentals, explore key concepts and algorithms, understand ethical practices, and gain hands-on ... and future applications. (Tech Books)
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Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
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