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Machine Learning

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. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.

Created by Stanford University


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What you’ll learn


From this educational resource you will gain confidence with the compentencies demanded by companies these days. The most in demand technique in the educational resource that is frequently mentioned from companies is Data Analysis. The most relevant tool is Matlab. You will also hear about Programming Skills, a trait often included in job postings.

Who will benefit?


Mapping material from this learning resource with nearly 10,000 data-related job postings, we determine that those in or pursuing Data Scientist roles would benefit the most.