Machine Learning with Python: from Linear Models to Deep Learning

Online Course

edX
Machine Learning with Python: from Linear Models to Deep Learning

What is the course about?

Machine Learning with Python: from Linear Models to Deep Learning
The course Machine Learning with Python: from Linear Models to Deep Learning is an online class provided by Massachusetts Institute of Technology through edX. The skill level of the course is Advanced. It may be possible to receive a verified certification or use the course to prepare for a degree.
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.
Course description
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: Representation, over-fitting, regularization, generalization, VC dimension; Clustering, classification, recommender problems, probabilistic modeling, reinforcement learning; On-line algorithms, support vector machines, and neural networks/deep learning. Students will implement and experiment with the algorithms in several Python projects designed for different practical applications.This course is part of the MITx MicroMasters Program in Statistics and Data Science. Master the skills needed to be an informed and effective practitioner of data science. 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. To learn more about this program, please visit https://micromasters.mit.edu/ds/.If you have specific questions about this course, please contact us at sds-mm@mit.edu.

Prerequisites & Facts

Machine Learning with Python: from Linear Models to Deep Learning

Course Topic

Computer Science, Data Analysis and Statistics, Math

University, College, Institution

Massachusetts Institute of Technology

Course Skill Level

Advanced

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Machine Learning with Python: from Linear Models to Deep Learning

To obtain a verified certificate from edX / Massachusetts Institute of Technology you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (300.00 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Massachusetts Institute of Technology
Machine Learning with Python: from Linear Models to Deep Learning
provided by edX

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School: MIT Massachusetts Institute of Technology
Topic: Computer Science, Data Analysis and Statistics, Math
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