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Python Machine Learning

Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;

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Machine Learning Concepts with Python and the Jupyter Notebook Environment

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

Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book * Understand;

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Building Machine Learning Systems with Python

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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Machine Learning with Python

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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Python Machine Learning -

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

Machine Learning a branch of Artificial Intelligence is influencing the society, industry and academia at large. The adaptability of Python;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

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 Applications Using Python

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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Machine Learning on Geographical Data Using Python

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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Python Machine Learning

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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Python

Leverage benefits of machine learning techniques using Python About This Book * Improve and optimise machine learning systems using;

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Building Machine Learning Systems With Python

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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Python Machine Learning

Python machine learning book Clear and intuitive explanations take you deep into the theory and practice of Python machine learning Fully;

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Python Machine Learning Case Studies

Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a;

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Hands-On Data Science and Python Machine Learning

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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Python Machine Learning

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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Machine Learning with Python for Everyone

The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for;

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Building Machine Learning Systems With Python

-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and experienced the power of ML;

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Python for Probability, Statistics, and Machine Learning

, 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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Applied Supervised Learning with Python

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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Python for Probability, Statistics, and Machine Learning

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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Python for Probability Statistics and Machine Learning

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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