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Вернуться к Машинное обучение

Отзывы учащихся о курсе Машинное обучение от партнера Стэнфордский университет

4.9
звезд
Оценки: 158,302
Рецензии: 40,531

О курсе

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas....

Лучшие рецензии

QP
24 июня 2018 г.

This course is extremely helpful and understandable for engineers and researchers in the CS field. Many thanks to the prof. Ng Yew Kwang for his great course as well as supporters in the course forum.

VB
2 окт. 2016 г.

Everything is great about this course. Dr. Ng dumbs is it down with the complex math involved. He explained everything clearly, slowly and softly. Now I can say I know something about Machine Learning

Фильтр по:

226–250 из 10,000 отзывов о курсе Машинное обучение

автор: Cosmin V N

7 авг. 2015 г.

Amazing course. Complex topics explained in a way that anyone with a rudimentary understanding of math can follow.

автор: Kumar N

9 апр. 2020 г.

One of the best Machine learning course :) Andrew's way of teaching is really a masterpiece :) Thank you Coursera

автор: Luka B

30 янв. 2019 г.

Great course, only a bit updated. Would be wonderfu if there was an update (or additional week of two) for 2019!

автор: 黄生

1 апр. 2021 г.

Thank you to the course team! Your efforts make the world more better , Let's make things better and better !

автор: Mai S

6 июня 2019 г.

Thanks Andrew for this informative course. I am looking forward to taking deep learning specialize as well.

автор: Nguyễn H T

5 янв. 2019 г.

This course is absolutely amazing and suitable for ones who want to begin to study about Machine Learning.

автор: Lukas C

31 окт. 2020 г.

VERY GOOD!!!! BEST CLASS TO LEARN Machine Learning as a beginner and easy, pretty concise intuitions.

автор: Anton S

21 мар. 2019 г.

It's a good way to get an understanding of machine learining principles and to improve your English.

автор: dinh

15 дек. 2018 г.

Great course on Machine Learning. I learned a lot!

Thanks to Professor Andrew NG and all the mentors.

автор: YuShih C

4 янв. 2019 г.

Great introductory course for Machine Learning using MATLAB/Octave. Highly recommended.

автор: syh

9 февр. 2020 г.

从机器学习新人、小白,通过这门课程充分理解了机器学习的原理,掌握了一些机器学习的技巧,并能够根据学到的知识,举一反三,应用到更复杂的机器学习算法的理解中。总而言之受益匪浅。

автор: runner_yang

25 июля 2019 г.

Thank you sincerely! I have learned a lot through this course. I love Ng and coursera!

автор: Zihao Z

10 февр. 2020 г.

8个exercise出的非常好,程序中给的note和hint有助于理解计算过程、加深记忆。

吴恩达老师英语很有亲和力,对于我这样的英语听力一般的人来说非常友好

автор: Phani M

25 мая 2020 г.

It would be great if the assignments would be in python rather than octave.

автор: Mohammed R

7 авг. 2015 г.

the audio is sometimes noisy, but everything else is perfect, thanks a lot

автор: Erasmo G M S

2 окт. 2018 г.

Great!, this was my first aproach to machine learning and I learned a lot

автор: 王奇

6 авг. 2015 г.

吴恩达老师的这门课帮助无数学生了解了什么是机器学习,虽然有时候作业会很没有头绪但是通过努力研究一般都能做出来,而且满满的成就感。。感谢andrew

автор: Mattias J

24 апр. 2020 г.

A great course to start your journey into the machine learning universe.

автор: Shrey S

3 июня 2020 г.

Terrific introduction course and taught in a very engaging manner!

автор: Sahibjot S

14 мар. 2021 г.

Excellent course !! Way of teaching of Sir Andrew Ng is superb.

автор: Mrinal G

17 янв. 2020 г.

Best Online Machine Learning Course available. Excellent tutor.

автор: carol

3 авг. 2020 г.

吴老师的机器学习讲的非常好,浅显易懂,

理论与实践相结合,易于掌握各个知识点。

谢谢吴老师精彩的讲解。

期待学习吴老师的其他课程!

автор: zhiyiwang

15 сент. 2019 г.

Very understandable and straightforward class for beginners.

автор: Donny I

15 дек. 2019 г.

very usefull to study the fundamental of machine learning

автор: Dhruva

2 янв. 2020 г.

A exceptionally great course for beginners in the field.