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Optimization Algorithms and Applications in Data Science and Machine Learning
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Machine Learning Refined: Foundations, Algorithms, and Python Applications
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Practical Linear Algebra for Data Science with Python Applications
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Practical Linear Algebra for #DataScience — From Core Concepts to Applications Using #Python — http://
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Introduction to Modern Statistics: Free Online Resource Available
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Introduction to Modern #Statistics: https://
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Bayes Rules: Applied Bayesian Modeling Introduction Book
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Bayes Rules! – An Introduction to Applied Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science): http://
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Advanced Probabilistic Machine Learning Textbook Now Available Online and Print
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Get draft of 1362-page PDF (also the 332-page supplementary material) “ADVANCED Topics in Probabilistic #MachineLearning” at http://
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Introduction to Probabilistic Machine Learning Second Edition Available
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INTRODUCTION to Probabilistic #MachineLearning (2nd Ed., 858-page PDF): http://
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Bayesian Modeling and Computation in Python Book Available
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“Bayesian Modeling and Computation in #Python” available at http://
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50 Essential Algorithms Every Programmer Must Know
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50 #Algorithms Every Programmer Should Know: http://
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9 Distance Metrics in Data Science and Machine Learning
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9 Distance Metrics used in #DataScience and #MachineLearning (advantages & pitfalls): http://
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See 730+ page book "Encyclopedia of Distances" (3rd edition): http://
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