Course Description

Join the cutting-edge field of machine learning with the Sample-based Learning Methods course by University of Alberta. In partnership with the Alberta Machine Intelligence Institute, this course offers a comprehensive understanding of sample-based learning methods, a powerful approach to solving complex problems. With a 4.8-star rating and over 2,000 reviews, this course has been highly praised for its in-depth coverage of topics such as reinforcement learning, algorithms, human learning, and machine learning algorithms. You will also gain hands-on experience in computer programming and apply your knowledge to real-world problems. Designed for intermediate learners, this course will take 1-3 months to complete, giving you the opportunity to delve into the intricacies of applied machine learning. You will also develop a strong foundation in statistical machine learning and probability & statistics, essential for success in this field. By the end of this course, you will have the skills to confidently tackle complex problems using sample-based learning methods and have a solid understanding of probability distribution. With