Showing results for "Learning Science and the Science of Learning" in History & Culture

In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

We live in an incredible period in history. The computer revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before. But our love of computers should not cloud our thinking about their limitations. The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.

Throughout the 1960s and 1970s, a diverse group of teachers and students working together on academic computing systems conducted many of the activities we now recognize as personal and social computing. Joy Rankin draws on detailed records to explore how users exchanged messages, programmed music and poems, fostered communities, and developed computer games like The Oregon Trail. These unsung pioneers helped shape our digital world, just as much as the inventors, garage hobbyists, and eccentric billionaires of Palo Alto.

A new approach to the challenges surrounding artificial intelligence that argues for assessing AI actions as if they came from a human being.

Brought to you by Penguin. What if we could stop cancer in its tracks, prevent cardiovascular disease, lose weight at will and reverse the effects of ageing? With new developments in artificial intelligence, gene editing and robotics, it might all be possible sooner than you think. In Hacking...

By turns fascinating and scary, Artificial Intelligence takes the listener on an amazing journey that covers everything from the habits of ants to the world of the stock market. This edition has been fully updated to take account of the latest developments.