Python Machine Learning by Sebastian Raschka [2018, Ebook] 2018 Free PDF Download: It’s the age of the machine – or at least it will be. The sooner you get to grips with machine learning and all it can do, the better prepared. You’ll be to face the future as an informed citizen or business leader.
Overview About “Python Machine Learning” by “Sebastian Raschka”
Python Machine Learning is a practical, hands-on guide to some of Python’s most powerful machine learning tools and libraries. You will start with an introduction to the basic principles of machine learning. And how they can be applied to real-world problems. The book will then teach you about specific libraries including sci-kit-learn. And Google’s Cloud Machine Learning Engine. Before guiding you through more advanced topics such as cost functions, hyperparameter tuning, and feature extraction. Each chapter comes with exercises that let you practice what you have learned. Which will help build your confidence in using these powerful tools in practice.
Reviews About “Python Machine Learning” by “Sebastian Raschka”
This is a book that teaches you Python coding basics while getting you started with several key techniques used for building robust and scalable predictive models. The use of simple examples helps illustrate how powerful such techniques can be when leveraged correctly in a production environment. It uses well-known concepts such as Decision Trees to introduce beginners to complex topics like Machine Learning and Natural Language Processing (NLP). More importantly, it gives them an understanding of what these tools are designed to achieve through real-world situations. Furthermore, it provides Python developers with practical working knowledge of tools like Scikit-Learn, NumPy, and Pandas while empowering them to build their own NLP models using TensorFlow libraries.
About “Sebastian Raschka” the author of “Python Machine Learning”
Sebastian Raschka is a software engineer with over a decade of experience in research and development. He is one of the main developers behind sci-kit-learn, an open-source machine learning library for Python. His work has been recognized in various publications such as Forbes and Wired. In addition to his development contributions, he has also authored a series of books on machine learning with Packt Publishing (Data Analysis with OpenCV and Scikit-Learn, Advanced Data Analysis with Python, Applied Machine Learning with Scikit-Learn and TensorFlow). Sebastian holds an MSc in Computer Science from Carnegie Mellon University (USA) where he studied computational linguistics.
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