Python Machine Learning

This book is a comprehensive guide to using Python for machine learning, covering deep learning, data wrangling, and visualization. It provides effective strategies and best practices to improve and optimize machine learning systems and algorithms, and helps readers ask tough questions of their data with robust statistical models. Whether you want to start from scratch or extend your data science knowledge, this book is an essential resource.

Format: Electronic book text
Length: 454 pages
Publication date: 02 April 2023
Publisher: Packt Publishing Limited

This comprehensive guide provides a deep dive into the world of machine learning, covering everything from foundational concepts to advanced techniques. Whether you're a beginner or an experienced data scientist, this book will help you leverage Python's powerful open-source libraries for deep learning, data wrangling, and data visualization.

You'll learn effective strategies and best practices to improve and optimize machine learning systems and algorithms, enabling you to ask tough questions of your data and uncover valuable insights.

With a focus on real-world applications, this book is designed for data scientists, engineers, and business professionals who want to use Python to start answering critical questions of their data. You'll explore how to use different machine learning models to ask different questions of your data, build neural networks using Keras and Theano, write clean and elegant Python code that will optimize the strength of your algorithms, embed your machine learning model in a web application for increased accessibility, predict continuous target outcomes using regression analysis, uncover hidden patterns and structures in data with clustering, organize data using effective pre-processing techniques, and get to grips with sentiment analysis to delve deeper into textual and social media data.

Throughout the book, you'll gain hands-on experience with Python's most powerful open-source libraries, including TensorFlow, Scikit-Learn, PyTorch, and Matplotlib. You'll also learn how to integrate machine learning with other technologies, such as cloud computing and big data, to create powerful and scalable solutions.

Whether you're looking to improve your machine learning skills or expand your knowledge in this field, Python Machine Learning is an essential and unmissable resource. Don't miss out on this opportunity to unlock deeper insights into machine learning and take your data science to the next level.

Weight: 840g
Dimension: 238 x 193 x 29 (mm)
ISBN-13: 9781783555130