machine learning Public

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  1. Building Machine Learning Powered Applications by 

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  2. Storytelling with Data by 

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  3. Feature Selection for Data and Pattern Recognition by ,

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  4. Applied statistical decision theory by 

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  5. Introduction to Time Series and Forecasting by ,

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  6. The Book of Why by ,

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    A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence

    “Correlation …

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  7. Information Theory, Inference & Learning Algorithms by 

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    This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as …

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  8. Data-Driven Science and Engineering by ,

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  9. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by 

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    Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who …

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  10. Pattern Recognition and Machine Learning by 

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  11. New Introduction to Multiple Time Series Analysis by 

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  12. Feature Extraction by 

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  13. Elements of Information Theory by ,

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  14. Deep Learning by , ,

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  15. Time series analysis by 

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