Machine Learning, is the science of getting computers to act without being explicitly programmed. ML has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome in the past decade. 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. With this course bundle, you will learn about the most effective machine learning techniques and gain practice implementing them and get 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.
This Machine Learning Bundle provides a broad introduction to machine learning and allows for deep dives into the development side of machine learning with the data science behind the development. The courses include:
Machine learning is complex. While you do not need to have machine learning experience in order to be successful, we strongly recommend having prior experience in math, including familiarity with Python, probability theory, statistics, multivariate calculus, and linear algebra. This program uses Python and the NumPy library for code exercises and projects.
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