Algorithms
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Technologies Enabling Future Mobile Connectivity and Sensing
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The Muse of Coding: Programming as Art
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Asynchronous Programming in Rust: Building Examples with Futures, Green Threads, and Runtimes
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Mastering Python: A Comprehensive Crash Course for Beginners
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Principles of Data Science
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Data Structures & Algorithms Mastery Course 2025
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The Science of Machine Learning: Part 1 Fundamentals
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ML Algorithms in Depth: Advanced Concepts & Techniques (2024)
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Introduction to Optimization: Applications in Machine Learning (2023)
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ML with Scikit & TensorFlow: Algorithms & Implementations (2023)
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ML from A to Z: A Comprehensive Guide with Code (2023)
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Mathematics of ML: Supervised Learning & Beyond (2024)
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Machine Learning Methods: Core Algorithms & Techniques (2023)
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Vectorization: Efficient ML Algorithm Implementations (2024)
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Optimization for ML: Theory & Applications Guide (2023)
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Statistical Prediction & ML: Data Science Applications (2024)
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Math Foundations for ML in Science: Key Concepts Explained (2024)
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Machine Learning with Scikit-Learn: Quick Start Guide
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Machine Learning Essentials: Core Concepts & Techniques
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Safety in the Digital Age: AI, Algorithms & Risk Management
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Before Machine Learning Vol. 1: Linear Algebra for AI (2023)
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42 Essential Machine Learning Algorithms: A Practical Guide (2023)
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NumPy Mastery: From Basics to Advanced for Machine Learning (2023)
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Python Data Model Mastery Course
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Mathematics & Computer Science, Volume 1: Advanced Computational Concepts (Scrivener Publishing, 2024)
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Machine Learning, Optimization & Data Science: 9th International Conference, LOD 2023
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Mathematics & Computer Science, Volume 2 (Scrivener Publishing, 2024)
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Mathematics for Machine Learning: Master Algorithms & Concepts
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