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Artificial Intelligence Bundle - 3 Books in 1Book 1: Artificial Intelligence for People in a HurryBook 2: Machine Learning in FinanceBook 3;
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Ideal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Python using Tensorflow 2.0 in the Jupyter;
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provide a fast-paced introduction to Python 3, NumPy, and Pandas. The fifth chapter introduces the fundamental concepts of machine learning. The;
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Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;
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fundamentals of Python 3 programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis;
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of Python 3 programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts;
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learning system Discover how Python offers multiple algorithms for modern machine learning systems Explore key Python machine learning libraries;
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where machine learning has been implemented. Machine Learning Applications Using Python is divided into three sections, one for each of the;
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examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science;
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world of Machine Learning with Python?If your answer is YES, then youve come to the right source.Whether you want to start;
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practices to improve and optimize your machine learning systems and algorithms Who This Book Is For If you know some Python and you want to use;
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or have just started exploring IoT or Machine Learning with Python, then this book is for you. Features: Raspberry Pi as IoT;
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or have just started exploring IoT or Machine Learning with Python, then this book is for you. Features: Raspberry Pi as IoT;
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, AI and Big Data, fundamental use cases, chatbots, and more. Key Features Completely updated and revised to Python 3.x New chapters for AI on;
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If you've been using Python for some time and want to become even better at it, then Python Machine Learning is the first book you should;
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, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from;
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Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning;
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This book primarily targets Python developers who want to learn and use Python's machine learning capabilities and gain valuable insights;
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The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for;
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This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale;
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This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated;
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This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated;
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learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions;
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, and machine learning, so that the reader can not only employ statistical and machine learning models using modern Python modules, but also;
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