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Introduction to Machine Learning

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural netwo...
4.7
4.7/5
(2,644 reviews)
151,411 students
Created by

9.0

Classbaze Grade®

N/A

Freshness

8.5

Popularity

9.0

Material

Introduction to Machine Learning
Platform: Coursera
Video: 10h 24m
Language: English
Next start: Start anytime

Best Machine Learning classes:

Classbaze Rating

Classbaze Grade®

9.0 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.5 / 10
We analyzed factors such as the rating (4.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.0 / 10
Video Score: 9.2 / 10
The course includes 10h 24m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 5 hours 48 minutes of 749 Machine Learning courses on Coursera.
Detail Score: 7.9 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

2 articles.
0 resource.
0 exercise.
10 tests or quizzes.

In this page

About the course

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. In addition, we have designed practice exercises that will give you hands-on experience implementing these data science models on data sets. These practice exercises will teach you how to implement machine learning algorithms with PyTorch, open source libraries used by leading tech companies in the machine learning field (e.g., Google, NVIDIA, CocaCola, eBay, Snapchat, Uber and many more).

What can you learn from this course?

What you need to start the course?

Basic knowledge of Machine Learning is required to start this course, as this is an intermediate level course.

Who is this course is made for?

This course was made for intermediate-level students.

Are there coupons or discounts for Introduction to Machine Learning ? What is the current price?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.
The average price is $13.6 of 749 Machine Learning courses. So this course is 100% cheaper than the average Machine Learning course on Coursera.

Will I be refunded if I'm not satisfied with the Introduction to Machine Learning course?

Coursera offers a 7-day free trial for subscribers.

Are there any financial aid for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who will teach this course? Can I trust Lawrence Carin?

Lawrence Carin has created 1 courses that got 1,060 reviews which are generally positive. Lawrence Carin has taught 150,918 students and received a 4.64 average review out of 1,060 reviews. Depending on the information available, we think that Lawrence Carin is an instructor that you can trust.
Electrical and Computer Engineering
Duke University
Lawrence Carin is the James L. Meriam Distinguished Professor of Electrical and Computer Engineering at Duke, where he also serves as the Vice Provost for Research. He is one of the most prolific authors in the world in the fields of machine learning and artificial intelligence, regularly publishing in the most competitive forums. He has taught at Duke for over 23 years, and has published nearly 400 peer-reviewed papers. He is also the Chief Scientist at a machine learning startup, Infinia ML.

9.0

Classbaze Grade®

N/A

Freshness

8.5

Popularity

9.0

Material

Platform: Coursera
Video: 10h 24m
Language: English
Next start: Start anytime

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