Machine Learning with Python: from Linear Models to Deep Learning
Massachusetts Institute of Technology, , Prof. Regina Barzilay 0.0 ( Reviews) 32254 Students Enrolled
Updated On 02 Feb, 19
Massachusetts Institute of Technology, , Prof. Regina Barzilay 0.0 ( Reviews) 32254 Students Enrolled
Updated On 02 Feb, 19
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. Course 4 of 4 in the MITx MicroMasters program in Statistics and Data Science.
Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), advertisers, and financial institutions employ machine learning algorithms for content recommendation, predicting customer behavior, compliance, or risk.
As a discipline, machine learning tries to design and understand computer programs that learn from experience for the purpose of prediction or control.
In this course, students will learn about principles and algorithms for turning training data into effective automated predictions. We will cover:
Lectures:
Sam
March 29, 2018
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Dembe
March 29, 2018
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