ADAM CHUDERSKI, Samokontrola: własności, funkcje, mechanizmy i ograniczenia.
A Reddit study group for the free online version of "Introduction to Artificial Intelligence", taught by Sebastian Thrun and Peter Norvig. The purpose of this reddit is to help each other understand the course materials, not to share solutions to assignments. Please follow the Stanford Honor Code, and don't post any links to pirated versions of the textbook. AI-Class: "Introduction to Artificial Intelligence"
Lec 1 | MIT 18.06 Linear Algebra, Spring 2005
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. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.