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學生對 杜克大学 提供的 Introduction to Machine Learning 的評價和反饋

4.6
954 個評分
226 條評論

課程概述

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)....

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KS
2020年8月4日

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.\n\nThank you Professors

NN
2020年11月26日

Thanks Coursera and Duke University for this course. It is very insightful to get understood the basics of ML and applied ML in numerous fields. It really made me to move ahead with ML domain.

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151 - Introduction to Machine Learning 的 175 個評論(共 225 個)

創建者 Oscar S

2019年6月24日

Excelente

創建者 MS S

2020年5月29日

helpful

創建者 Rafeed R

2020年4月10日

Awesome

創建者 YAMINI K

2020年6月2日

useful

創建者 Sandeep D D

2019年8月24日

Thanks

創建者 MONEESH M

2020年7月7日

super

創建者 HASSAINAR T S

2020年6月8日

Great

創建者 Sudheer V

2020年9月6日

good

創建者 AARTHI 1

2020年9月5日

good

創建者 Sunidhi k K

2020年7月29日

Good

創建者 SAYANTAN D

2020年7月28日

Nice

創建者 vaibhavi u l

2020年7月19日

good

創建者 ARAVIND K R

2020年7月12日

Good

創建者 PREETI.R

2020年7月8日

GOOD

創建者 Vikash k

2020年6月20日

good

創建者 Narendra P M

2020年6月2日

Nice

創建者 SHIVAKUMAR S R

2020年5月29日

good

創建者 Katha P R

2020年5月18日

good

創建者 Dr. S C

2020年5月4日

good

創建者 Sayan G

2020年9月20日

A++

創建者 Dziem N

2020年4月22日

I would like to thank Prof. Carin for a very lucid and intuitive explanation of the major concepts in Machine Learning covered in this class. This is the best explanation of the concepts of CNN and Reinforcement Learning that I have found so far !!!

I am also a little bit disappointed by the set of Programming Exercises at the end of some the lectures by other teachers. I think instead of giving students examples of programming using raw, low-level TensorFlow APIs because it overwhelms the main concepts. It is better to use high-level back end tool like Keras (NOT Slim !!!)

創建者 Chen S

2020年2月24日

It is a very basic introductory course to important fields in machine learning. It tells important models like CNN and RNN and LSTM. but it does not go deeper into the technical levels of these models. Some parts about mathematics are not very satisfying. Also I feel like the course doesn't provide enough training for the coding work. Nonetheless, it is a good course to start with machine learning and the instructors repeat the concepts from the previous class, which helps me a lot in understanding the concepts.

創建者 Carlos C

2020年10月4日

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!

創建者 Fevzi E B

2020年9月20日

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.

創建者 Phijit D B

2020年5月11日

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.