Машиннное обучение | Наука о данных Библиотека
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Building Machine Learning Systems with Python

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Bayesian Statistics The Fun Way (2019)

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Programming Quantum Computers: Essential Algorithms and Code Samples

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Artificial Vision and Language Processing for Robotics

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Practical Deep Learning for Cloud, Mobile, and Edge (2019)

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Building Machine Learning Powered Applications (2020)

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Foundations for Analytics with Python

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Graph Algorithms: Practical Examples in Apache Spark and Neo4j

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Reinforcement Learning : With Open AI, TensorFlow and Keras Using Python

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The Hundred-Page Machine Learning Book (2019)

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Hands-On Deep Learning for Images with TensorFlow

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Practical Quantum Computing for Developers: Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience

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Django for Professionals: Production websites with Python & Django (2019)

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Programming in Scala Fourth Edition: Updated for Scala 2.13

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Introduction to Python for Science and Engineering - 2019

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Deep Learning for NLP and Speech Recognition (2019)

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Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale

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AI Crash Course: A fun and hands-on introduction to machine learning, reinforcement learning, deep learning, and artificial intelligence with Python (2019)

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Hands-On Microservices with Kubernetes: Build, deploy, and manage scalable microservices on Kubernetes (2019)

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