Machine Learning for Data Science

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9/10 stars
based on  3 reviews
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Cost FREE , Add a Verified Certificate for $350
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Course Details

Cost

FREE,
Add a Verified Certificate for $350

Upcoming Schedule

  • Upcoming

Course Provider

edX online courses
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. 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. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be tau...
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. 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. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. 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. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

Provider Subject Specialization
Sciences & Technology
Business & Management
22688 reviews

Course Description

Do you want to build systems that learn from experience? Or exploit data to create simple predictive models of the world?

In this course, part of the Data Science MicroMasters program, you will learn a variety of supervised and unsupervised learning algorithms, and the theory behind those algorithms.

Using real-world case studies, you will learn how to classify images, identify salient topics in a corpus of documents, partition people according to personality profiles, and automatically capture the semantic structure of words and use it to categorize documents.

Armed with the knowledge from this course, you will be able to analyze many different types of data and to build descriptive and predictive models.

All programming examples and assignments will be in Python, using Jupyter notebooks.

Machine Learning for Data Science course image
Reviews 9/10 stars
3 Reviews for Machine Learning for Data Science

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tamarisk Xu profile image
tamarisk Xu profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
1 year, 8 months ago
I must say ,the content is very useful,and affluent.in fact,I learned a lot.And I like the teacher,he is great,clear and fluent speaking.but also,I have some problem because I cannot completely understand all courses.There is a way I always do ,watch the video again and again until I can understand.
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ASHUTOSH KUMAR profile image
ASHUTOSH KUMAR profile image

ASHUTOSH KUMAR

10/10 starsTaking Now
1 year, 8 months ago
The course content is very enriching, the instructor presents the course in such a simple way that it seems as if he is singing the concepts of machine learning and we are easily listening and understanding it. The quizzes and the programming exercises adds to the course experience.
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A Ro profile image
A Ro profile image

A Ro

10/10 starsTaking Now
1 year, 8 months ago
This is undoubtedly one of the best, if not the best, ML courses offered online. As the lectures go on, you soon fell in love with clarity, richness, and quality of the course. The instructor is awesome. I had a good background in ML and first took this course to brush up some past knowledge, but now, I am almost about to finish the whole course. Thanks!
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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.