Book Image

Python Machine Learning Blueprints - Second Edition

By : Alexander Combs, Michael Roman
Book Image

Python Machine Learning Blueprints - Second Edition

By: Alexander Combs, Michael Roman

Overview of this book

Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you’ll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you’ll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you’ll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you’ll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this book, you’ll be able to analyze data seamlessly and make a powerful impact through your projects.
Table of Contents (13 chapters)

Building a Chatbot

Imagine for a moment that you're sitting alone in a quiet, spacious room. To your right is a small table with a stack of white printer paper and a single black pen. In front of you is what seems to be a large, red cube with a tiny opening—slightly smaller than the size of a mail slot. An inscription just above the slot invites you to write down a question and pass it through the slot. As it happens, you speak Mandarin; so, you write down your question in Mandarin on one of the sheets and insert it into the opening. A few moments pass, and then slowly, an answer emerges. It's also written in Chinese and is the just the sort of answer you might have expected. So, what did you ask? Are you a person or a computer? And the response? Why yes, yes I am.

This thought experiment is based on philosopher John Searle's Chinese Room Argument. The premise...