Description

Written with the beginner in mind, this powerful guide breaks down everything you need to know about machine learning and Python in a simple, easy-to-understand way. So many other books make machine learning look impossible to understand and even harder to master - but now you can familiarize yourself with this incredible technology like never before

With a detailed and concise overview of the fundamentals, along with the challenges and limitations currently being tackled by the pros, inside this comprehensive guide you will:

• Learn the Fundamentals of Machine Learning which Are Being Developed and Advanced with Python
• Master the Nuances of 12 of the Most Popular and Widely-Used Machine Learning Algorithms, in a Language that Requires No Prior Background in Python
• Discover the Details of the Supervised, Unsupervised, and Reinforcement Algorithms, which Serve as the Skeleton of Hundreds of Machine Learning Algorithms Being Developed Every Day
• Become Familiar with Data Science Technology, an Umbrella Term Used for the Cutting-Edge Technologies of Today
• Dive Into the Functioning of Scikit-Learn Library and Develop Machine Learning Models, with a Detailed Walkthrough and Open Source Database using Illustrations and actual Python Code
• Understand the Entire Process of Creating Neural Network Models on TensorFlow, Using Open Source Data Sets and real Python Code
• Uncover the Secrets of the Most Critical Aspect of Developing a Machine Learning Model - Data Pre-Processing and Training/Testing Subsets

With a wealth of tips and tricks, along with invaluable advice guaranteed to help you with your machine learning journey, this book is a powerful and revolutionary tool for creating, developing, and using machine learning. From understanding the Python language to creating data sets and building neural networks, now you can become the master of machine learning with this incredible guide