Can I read Machine Learning with Python: Comprehensive Beginner’s Guide to Machine Learning in Python with Exercises and Case Studies on EtoBox?

Machine Learning with Python: Comprehensive Beginner’s Guide to Machine Learning in Python with Exercises and Case Studies by Jacobs, Paige is a book available to read on EtoBox.

What is Machine Learning with Python: Comprehensive Beginner’s Guide to Machine Learning in Python with Exercises and Case Studies about?

Introduction 8 Chapter One: What is Machine Learning? 9 Applications of Machine Learning 11 Virtual Personal Assistants 11 Density Estimation 12 Latent Variables 12 Reduction of Dimensionality 12 Advantages and Disadvantages of Machine Learning 13 Chapter Two: Machine Learning - Concepts & Terms 14 Machine Learning, Artificial Intelligence and Deep Learning 15 Objectives of Machine Learning System 16 Predict a quantity 16 Anomaly Detector Systems 16 Clustering Systems 17 Category of Machine Learning systems 17 Supervised Learning 18 Unsupervised Learning 18 Reinforced learning 20 Steps in building a Machine learning System 21 Define Objective 21 Collect Data 22 Prepare Data 22 Select Algorithm 22 Train Model 22 Test Model 22 Predict 22 Deploy 23 Chapter Three: Why Use Python for Machine Learning 25 Simple and Easy to Learn 25 High-level Language 26 Open Source 26 Portable 26 Interpreted 26 Object Oriented 27 Fast and Efficient to Use 27 Batteries Included 28 Numpy, Panda and SciKit Learn 28 Chapter Four: Basics of Python Programming 30 Running Python 30 Installing on Windows 30 Choosing the Right Version 31 Getting Started 31 Creating your own files 32 Choosing the right identifier

Author

Jacobs, Paige

Language

EN