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Introduction to applied machine learning. In this course, you'll learn about machine learning techniques such as linear regression, logistic regression, naive Bayes, SVMs, clustering, and more. In addition, you'll also learn the practical, hands-on, skills and techniques needed to get learning techniques to work well in practice.
Enroll for Free. Starts May 23. Financial aid available. 445,639 already enrolled. Course. Gain insight into a topic and learn the fundamentals. Instructor: Guenther Walther. 4.6. (2,957 reviews) Beginner level. Recommended experience. 14 hours to complete. 3 weeks at 4 hours a week. Flexible schedule. Learn at your own pace. About. Modules.
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