Title: Learning Theory from First Principles, Author: Francis Bach
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Quantum Machine Learning for Beginners: Exploring Quantum Machine Learning from Scratch
by Chuck Sherman
Narrated by  Ray Collins
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Title: Artificial Intelligence for Cognitive Modeling: Theory and Practice, Author: Pijush Dutta
Title: Computational Intelligence in Image and Video Processing, Author: Mukesh D Patil
Title: Application of Advanced Optimization Techniques for Healthcare Analytics, Author: Mohamed Abdel-Basset
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Machine Learning and Predictive Modeling: Turning Data into Action
by Chuck Sherman
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Title: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches, Author: Stefano V. Albrecht
Title: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches, Author: Stefano V. Albrecht
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Machine Learning Made Simple: A Practical Introduction: Building Intelligent Algorithms from Scratch
by Daniel Lee
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Title: Causal Inference for Data Science, Author: Aleix Ruiz de Villa Robert
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Mastering Deep Learning: Fundamentals to Cutting-Edge Applications
by Chuck Sherman
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Machine Learning: Unraveling the Algorithms of Intelligence
by Chuck Sherman
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Title: Deep Learning with JAX, Author: Grigory Sapunov
Title: Data Science with Semantic Technologies: Deployment and Exploration, Author: Archana Patel
Title: Practical Data Mining Techniques and Applications, Author: Ketan Shah
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Machine Learning and Statistical Modeling: The Art and Science of Machine Learning and Statistical Modeling
by Sam Green
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Title: Learn Generative AI with PyTorch, Author: Mark Liu
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Machine Learning Mastery: Shaping the Future with Algorithms: Unlocking Insights Through Predictive Machine Learning
by Daniel Foster
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Applied AI and Machine Learning for Beginners: A Comprehensive Guide to Understanding, Implementing, and Applying Artificial Intelligence and Machine Learning Concepts with Practical Examples and Hands-On Projects
by Allan Murray
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Effective Machine Learning Teams: Best Practices for ML Practitioners
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