Автор: Daniel Geron
Издательство: Amazon.com Services LLC
Год: 2019
Формат: PDF
Страниц: 133
Размер: 2.3 Mb
Язык: English
Through this book, you will learn:
• Principles of machine learning
• Types of machine learning: supervised, unsupervised, semi-supervised, and reinforcement learning
• Advantages of each type of machine learning
• Principle and types of neural networks
• Steps to develop and fit artificial neural network model
• Getting started and installing Python
• Tools and platforms for Python programming
• How to use pandas, NumPy and matplotlib Python libraries
• How to develop a simple linear and logistic machine learning model
• How to build and train a multi-layer artificial neural network two ways: from scratch and using the Python libraries