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Learner Reviews & Feedback for Introduction to Machine Learning by Duke University

4.7
stars
3,438 ratings

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)....

Top reviews

KS

Aug 4, 2020

I felt that I took the best descition in taking this course, because the professors took this course with atmost clarity and made even the difficult concepts understand easily.

Thank you Professors

MK

May 18, 2021

The course covers all the topic's regarding the machine learning and has an excellent explanation of concepts and the slides are very easy to understand thank you for such a wonderful course !

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651 - 675 of 809 Reviews for Introduction to Machine Learning

By IT3150_Dastagir M

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Oct 2, 2021

Teaching methods are good, explanation is also detailed and very informative but if possible to give practical session and teaching about how to do Hands-on, how to code the for machine learning, it would have been more better. Hoping for consideration of this small request...;)

By Chema D

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May 23, 2021

Really good course, I've learned a lot of new things. The course changed completely my initial ideas about Machine Learning Concepts and Utility. Also, it was really useful to situate ML relation with Neural Networks, Deep learning, IA, etc... Totally I recommend it

By Carlos C

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Oct 4, 2020

Good course and practical samples with good depth and looking beyond the implementation of tools, especially regarding the structure of algorithms and complex mathematical concepts behind the functions and parameters in Machine learning models. Thanks professors!

By orel m

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May 24, 2021

this course was very organized and well teaching' from basic through the mathematic principles and guidelines till the logical implmentation and the complicated architectures for getting these algorythms into practical.

thx a lot for the inspiring course,

Orel

By Atell Y K

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Jul 23, 2021

I like the course and all the video materials. However, Week 6 Lab seems to be out of place. It is dependent on topics that are introduced after it again. Sometimes, topics get repeated several times as if it is the first time they are shown to the student.

By Hemanshu D

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Jul 5, 2021

This is a short and quick course to get one kick started with Deep Learning. It covers basic building blocks for 2 very important tasks - Image Analysis and Text Analysis. All instructors have good command of the subject and teaching method is superb.

By Fevzi E B

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Sep 20, 2020

This course was good as an introduction course, appropriate analogy is used for facilitating. However, when it comes to assignments, there should have been videos instead of documents for better understanding and answers could be shown afterwards.

By JOHN J O P

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Apr 4, 2022

I found this course really helpful and it was a very interesting and informative course. I gained knowledge on Machine learning and its subsets and was able to dive deeper into the subject and get a prpoer understanding of the subject.

By Shubham J

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May 21, 2021

This course is a must-attend course for a beginner in machine learning. The professors explain the concepts with well illustrative as well as self-explanatory examples. Thank You Duke University for this opportunity to learn with you.

By Alaka B G

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Jun 26, 2021

Very good course on the basic concepts on machine learning and deep learning. But the main focus is on classification probelms. It would have been more general if the regression problems were also added. But over all a good course.

By Phijit D B

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May 11, 2020

It was very good. I understand the most of the part what the professors told and was able to learn about what is actually a deep learning is and why machine learning is needed. Hop it help many students through this videos.

By Arpita C

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Aug 21, 2020

I would recommend this course to someone who wants to gain basic insight into the world of Machine Learning. The course is organized in a way that should be easier to follow by the ones enthusiastic about Machine Learning.

By kaolab y

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Apr 30, 2021

I would say this course is a very excellent one. Although, I was not expecting such a comprehensively intensive lectures for an "introduction". Very interesting course, as I now have enough reason to continue learning.

By Franco B

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Aug 22, 2019

Course provides the fundamental of machine learning techniques, representing the state of the art of image and text processing; some more examples could help in enforce the meaning and intermediate results in applying

By Mark R

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Aug 18, 2023

Great fundamentals course! I wish the notebooks were updated according to recent approaches (ie. Tensorflow 2.x, etc). Other than that I'd recommend this course for anyone wanting to have a basic understanding of ML.

By Felipe L

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Jun 7, 2021

I really like the course, I would like if yo can expleine a bit more about initialization funtion and how the learning process is done. I found the labs a bit long so I would suggest to split them between the modul

By Akash K

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May 30, 2020

Great course for the comprehensive understanding of Machine Learning and consequently various new models like Deep Learning and CNN. This is highly recommended to have a good start in the field of Machine Learning.

By Bill D

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May 31, 2021

Good introduction and presentation to a complicated subject. The instructors take their time to walk through the material at a good pace with good interaction with the slides that help with understanding.

By Dibyanchal S

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Apr 20, 2021

I learned all the components of machine learning from basics to advance in a brief and lucid manner. I learned all the necessary terms and gained practical understanding. Thanks for this wonderful course.

By Gustavo S

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May 6, 2021

The exercises are too much toy for people who already have certain knowledge of machine learning and are not feed forward for students that has no experience solving machine learning problems.

By Amisha M

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Apr 28, 2021

Its really a helpful course to my career. I got to learn various things about machine learning from this course all thanks to Coursera. A valuable course for every machine learning aspirant.

By Akhlaq A

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Apr 27, 2021

A very nice introduction to machine learning. Before this course I always used to think that machine learning is beyond me, but after this I am more confident in machine learning.

By Mikaela S L R

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Jun 11, 2021

Se me dificultó mucho hacer el práctico al punto que sólo lo hice para las primeras dos semanas. Tengo instalado Anaconda y pretendía hacer el práctico en Spyder pero no pude.

By Tuan N

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Apr 25, 2021

A nice introduction to the concepts of machine learning. However, the material between weeks lack coherence (some topics between week 2 and week 3 are a bit repetitive).

By ALVARO C M D

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May 15, 2021

It's a great course and helps a lot to understand the concepts behind neural networks. I think it could be improved with more analogies to make the learning easier.