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 Turing Test

30 years before Searle's Chinese Room, Alan Turing posed the question, can machines think? in one of his more famous papers. Being the practical genius he was, he decided not to tackle that question head on, but to instead pose it in the framework of the problem of other minds. This problem asks, how do we truly know that other people have minds like our own? Since we can only observe their behavior—and not the inner workings of their mind—we must take it on faith that they are like us. Turing proposed that if a machine could behave as if it were intelligent, then we should view it as such. This, in a nutshell, is the Turing Test. Passing the test means convincing humans that a machine is a fellow human.

You might be wondering at this point, has a program ever successfully passed the Turing Test? And the answer is that there really is no official...