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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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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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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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Inside this book you will find all the basic notions to start with Python and all the programming concepts to build machine learning;
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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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liberal arts disciplines. Python, the world's #1 programming language, is also the most popular language for data science and machine learning;
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Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python;
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Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python;
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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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in Python. Use cases and examples are included. The book also focuses on applying more advanced machine learning approaches to geographical data and;
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Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important;
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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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Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries;
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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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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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input data-has revolutionized the way we do business. Applied Supervised Learning with Python provides a rich understanding of how you can apply;
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story. Learning Python has never been this fun...or fast! ;
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story. Learning Python has never been this fun...or fast! ;
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models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network;
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learning models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network;
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