Original PDF Ebook – Python Machine Learning By Example2nd EditionImplement machine learning algorithms and techniques to build intelligent systems, 2nd Edition – 9781789616729

Original PDF Ebook – Python Machine Learning By Example2nd EditionImplement machine learning algorithms and techniques to build intelligent systems, 2nd Edition – 9781789616729

Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learn_x000D_
Key Features_x000D_
Exploit the power of Python to explore the world of data mining and data analytics_x000D_
Discover machine learning algorithms to solve complex challenges faced by data scientists today_x000D_
Use Python libraries such as TensorFlow and Keras to create smart cognitive actions for your projects_x000D_
Book Description_x000D_
The surge in interest in machine learning (ML) is due to the fact that it revolutionizes automation by learning patterns in data and using them to make predictions and decisions. If you’re interested in ML, this book will serve as your entry point to ML._x000D_
Python Machine Learning By Example begins with an introduction to important ML concepts and implementations using Python libraries. Each chapter of the book walks you through an industry adopted application. You’ll implement ML techniques in areas such as exploratory data analysis, feature engineering, and natural language processing (NLP) in a clear and easy-to-follow way._x000D_
With the help of this extended and updated edition, you’ll understand how to tackle data-driven problems and implement your solutions with the powerful yet simple Python language and popular Python packages and tools such as TensorFlow, scikit-learn, gensim, and Keras. To aid your understanding of popular ML algorithms, the book covers interesting and easy-to-follow examples such as news topic modeling and classification, spam email detection, stock price forecasting, and more._x000D_
By the end of the book, you’ll have put together a broad picture of the ML ecosystem and will be well-versed with the best practices of applying ML techniques to make the most out of new opportunities.