Interpretable Machine Learning: A Guide For Making Black Box Models Explainable, 2nd Edition
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Machine Learning for Beginners: Your Ultimate Guide to Machine Learning for Absolute Beginners, Machine Learning Guide, Scikit-Learn, Deep Learning, Tensorflow, Data Analytics, Python, Data Science
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Statistical Modeling in Machine Learning: Concepts and Applications
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Python机器学习基础教程
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Machine Learning Engineering on AWS: Build, scale, and secure machine learning systems and MLOps pipelines in production
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The Insider’s Guide to Arm Cortex-M Development: Leverage embedded software development tools and examples to become an efficient Cortex-M developer
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Accelerate Deep Learning Workloads with Amazon SageMaker: Train, deploy, and scale deep learning models effectively using Amazon SageMaker
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The Machine Learning Simplified: A Gentle Introduction to Supervised Learning
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Feature Selection in Machine Learning with Python
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Tree-Based Machine Learning Methods in SAS Viya
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