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Applied Machine Learning: Using Machine Learning to Solve Business Problems
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Applications of Machine Learning in Hydroclimatology (The Springer Series in Applied Machine Learning)
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Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms
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Applied Machine Learning in Chemical Process Engineering: A Practical Approach
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Reliable Machine Learning: Applying SRE Principles to ML in Production
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Quantum Machine Learning: An Applied Approach: The Theory and Application of Quantum Machine Learning in Science and Industry
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Conference on Applied Machine Learning for Information Security: Red Teaming Report
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Rust for AI and Applied Machine Learning: Engineering High-Performance Systems
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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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Mastering Machine Learning with scikit-learn - Second Edition: Apply effective learning algorithms to real-world problems using scikit-learn
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ML.NET Revealed: Simple Tools for Applying Machine Learning to Your Applications
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Introduction to scikit-learn and Its Ecosystem: Volume 1: Foundations of Applied Machine Learning (As Fast As Possible)
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Hands-On Applied Machine Learning with Python: Build Intelligent Systems Using Scikit-Learn, Keras, and TensorFlow
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Introduction to scikit-learn and Its Ecosystem: Volume 1: Foundations of Applied Machine Learning (As Fast As Possible)
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Hands-On Applied Machine Learning with Python: Build Intelligent Systems Using Scikit-Learn, Keras, and TensorFlow
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Applied Machine Learning: Concepts, Code and Techniques to Build Real-World Applications
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Applied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise
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Analytical Geometry for Machine Learning: Vectors, Transformations, and Spatial Modeling in Applied AI
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Artificial Intelligence-based Healthcare Systems (The Springer Series in Applied Machine Learning)
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