![]() Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. If you take a class on computer science through Harvard, you may be taught by David J. These online classes are taught by highly-regarded experts in the field. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with EdX. Implement and organize machine learning projects, from training, validation, parameter tuning, to feature engineering.Choose suitable models for different applications.Implement and analyze models such as linear models, kernel machines, neural networks, and graphical models.Understand principles behind machine learning problems such as classification, regression, clustering, and reinforcement learning.For more information see the edX Help Center. However, 2U has committed to preserving robust privacy of individual data for all learners who use the platform. Please be aware that there could be changes to the edX platform Privacy Policy or Terms of Service after the closing of the sale. It is possible that the closing of the sale and the transfer of the edX platform may be effectuated sometime in the Fall while this course is running. The sale will not affect your course enrollment, course fees or change your course experience for this offering. has recently entered into an agreement to transfer the edX platform to 2U, Inc., which will continue to run the platform thereafter. To learn more about this program, please visit. You will complete this course and three others from MITx, at a similar pace and level of rigor as an on-campus course at MIT, and then take a virtually-proctored exam to earn your MicroMasters, an academic credential that will demonstrate your proficiency in data science or accelerate your path towards an MIT PhD or a Master's at other universities. Master the skills needed to be an informed and effective practitioner of data science. This course is part of the MITx MicroMasters Program in Statistics and Data Science. Students will implement and experiment with the algorithms in several Python projects designed for different practical applications. On-line algorithms, support vector machines, and neural networks/deep learning. ![]()
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