“John Patrick adds to the Attitude series with an installment I’ve been anxiously awaiting! Robot Attitude is our guidebook to the future in numerous fields. John zeroes in on what we need to know today to understand technology’s promises for tomorrow.” Skip Prichard, President & CEO, OCLC, Inc
This webpage contains reference material you may find interesting while reading Robot Attitude. Things are changing rapidly in the fields of robots and artificial intelligence. Robot Attitude will give you a good grounding but, if you want to learn more, explore the videos, articles, and courses below. Another way to stay on top of interesting developments is to read my weekly e-brief. The articles are short and designed to give you the important things going on. Sign up for the e-brief below. If you don’t like it, you can unsubscribe with one click.
Typing “what is machine learning?” into a Google search opens up a pandora’s box of forums, academic research, and here-say – and the purpose of this article is to simplify the definition and understanding of machine learning thanks to the direct help from our panel of machine learning researchers.
Offered By: Stanford
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.