Machine Learning with Python for Everyone: A Guide to Building Machine Learning Systems: From Basics to Powerful Tools
39.99 €
Out of stock
Machine Learning with Python for Everyone: A Guide to Building Machine Learning Systems: From Basics to Powerful Tools
39.99 €
"Machine Learning with Python for Everyone" will help you master the processes, patterns, and strategies you need to build effective machine learning systems, even if you're an absolute beginner. If you have some familiarity with writing Python code, this book is for you, no matter how much math you know.
We start with the concept of machine learning and what you can do with it, introducing key mathematical and computational topics in easy-to-understand language, guiding you through the first steps of building, training, and evaluating systems. Step by step, you'll master the components of a practical learning system, expand your toolbox, and explore some of the most challenging and interesting techniques. This guide is useful for any learning system you will use. Dr. Mark E. Fenner has been teaching computer science and mathematics and working in data science since 1999. Mark has developed training programs for large companies, small consulting firms, and national-level research labs. He holds a doctoral degree in computer science. You will learn to: - Understand the algorithms, models, and basic concepts of machine learning. - Realistically evaluate the performance of machine learning systems. - Tune the performance of the system. - Apply machine learning techniques to images and text. - Interact with neural networks and graphical models. - Develop functions to smooth data and give it a useful shape. - Use the Python scikit-learn library and other powerful tools.
We start with the concept of machine learning and what you can do with it, introducing key mathematical and computational topics in easy-to-understand language, guiding you through the first steps of building, training, and evaluating systems. Step by step, you'll master the components of a practical learning system, expand your toolbox, and explore some of the most challenging and interesting techniques. This guide is useful for any learning system you will use. Dr. Mark E. Fenner has been teaching computer science and mathematics and working in data science since 1999. Mark has developed training programs for large companies, small consulting firms, and national-level research labs. He holds a doctoral degree in computer science. You will learn to: - Understand the algorithms, models, and basic concepts of machine learning. - Realistically evaluate the performance of machine learning systems. - Tune the performance of the system. - Apply machine learning techniques to images and text. - Interact with neural networks and graphical models. - Develop functions to smooth data and give it a useful shape. - Use the Python scikit-learn library and other powerful tools.
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