Машиннное обучение | Наука о данных Библиотека
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MATLAB: A Practical Introduction to Programming and Problem Solving

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Machine Learning With Python For Everyone

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A Complete Solution Guide to Principles of Mathematical Analysis

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The AI Ladder: Accelerate Your Journey to AI (2020)

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Practical Data Analysis Using Jupyter Notebook (2020)

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Architecting for Scale: How to Maintain High Availability and Manage Risk in the Cloud (2020)

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Introduction to Data Science: Data Analysis and Prediction Algorithms with R

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Statistical Process Monitoring using Advanced Data-Driven and Deep Learning Approaches

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Write Great Code, Volume 1, 2nd Edition (2020)

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Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

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Building Machine Learning Pipelines (2020)

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Analytical Skills for AI and Data Science (2020)

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Spark in Action, Second Edition (2020)

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Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry

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Библиотека программиста

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Chaos Engineering: System Resiliency in Practice (2020)

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Mastering Large Datasets with Python (2020)

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