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)

The history of chatbots

I still remember the day my father sat me down in front of his IBM XT with its black-and-green flickering monitor and asked me to talk to it. The conversation went something like the following:

>Hello. How are you feeling today?

>Hi. Who is this?

>Hi there... How are you today?

>I'm fine. You didn't tell me who you are.

>We should be discussing you, not me.

>We should? Why?

>Let's change focus a bit... Tell me about your family.

>You are impossible to have a conversation with.

>Can you elaborate on that?

>You are killing me.

>Perhaps you would like me to be killing you.

>OK, you are freaking me out.

>Perhaps you're really talking about yourself?

>What?? That makes no sense.

>How would an answer to that help you?


>Very interesting.


>Thank you for talking with me.