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Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries;
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case studies with Python code and domain-specific innovative ideas for monetizing machine learning. What You Will Learn Discover applied;
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Get more from your data by creating practical machine learning systems with Python Key Features Develop your own Python-based machine;
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learn about effective implementation through lots of the practical examples discussed.Readers need no prior experience with Machine Learning or;
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large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own;
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you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python;
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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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Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This;
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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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The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for;
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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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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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rationale behind model selection and decisions within the machine learning process. The book is equipped with practical examples along with code;
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Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by;
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Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It;
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present book tries to address IoT, Python and Machine Learning along with a small introduction to Image Processing. If you are a novice programmer;
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present book tries to address IoT, Python and Machine Learning along with a small introduction to Image Processing. If you are a novice programmer;
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DescriptionPython Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step;
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Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a;
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elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.;
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learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach. With emphasis on practical solutions;
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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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Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning. It introduces fundamental;
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Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them;
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