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Kursteilnehmer-Bewertung und -Feedback für Maschinelles Lernen von Stanford University

4.9
119,666 Bewertungen
29,376 Bewertungen

Über den Kurs

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....

Top-Bewertungen

KM

Aug 11, 2017

Very nicely explained the mathematical topics, even for people like me with some phobia regarding large formulas. Useful hands-on experience with MATLAB coding, which I would have had to learn anyway.

MN

Oct 31, 2017

Great overview, enough details to have a good understanding of why the techniques work well. Especially appreciated the practical advice regarding debugging, algorithm evaluation and ceiling analysis.

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25876 - 25900 von 28,490 Bewertungen für Maschinelles Lernen

von 藤枝 龍

Oct 18, 2019

pretty good

von Rakesh D

Oct 16, 2019

Contents give the real intuition behind Machine Learning algorithms, If it would have been with Python, This course would have a best thing in the internet.

von evsakthi

Oct 18, 2019

Excellent class Andrew. Understood the concepts in a nice and well narrated sessions. Thank you.

von Tejaswini

Oct 18, 2019

Great Experience

von Badri N

Oct 15, 2019

The course has given me the confidence that I can truly take up machine learning as a field of work. The sessions provided just about enough info to equip us with the basics and to entice us into exploring this field further.

von Ashish A

Oct 16, 2019

It was very good.I got to know new things.

von Mayur G

Oct 17, 2019

Thank You. I have learned much from this course. Now I am much confident about mathematics angle of machine learning algorithms with how to resolve issues related of them.

von Yuksel C

Oct 17, 2019

I think my math wasn't so enough for the course, but it changed my perspective. Thanks

von abhilash

Oct 17, 2019

I started this course with some basic understanding of linear algebra. After completing this course, now I have some of powerful practical tools which I can use to solve some of the problem I came across before starting this course.

von Haoran T

Oct 18, 2019

A very good course for entry level of machine learning. The course focuses more on the algorithm, which helps me a lot in interview.

von Anurag S

Oct 18, 2019

Good

von Mohammed A

Oct 18, 2019

High quality content

von ABHISHEK R

Oct 15, 2019

It was a very helpful to course to learn machine learning !

von Omer H

Oct 15, 2019

Excellent, well thought of class.

Great programming exercises and great case studies.

von 川楓 劉

Oct 15, 2019

Thank you very much! It is a really good class!

von Daniel H

Oct 15, 2019

I'm impressed at how clearly the material was communicated and how the quizzes and programming assignments were difficult/complex enough to be challenging and educational but not overwhelming. I also appreciate how clear and well-commented the provided framework code was. This made it easy to understand how the code we needed to write was being used and helped cement my understanding of how the algorithms work. My only complain (very minor) is that it seemed that some formulas and examples presented in the slides were transposed differently from the example data provided in the programming assignments. This required me to really understand what the matrix multiplications were doing (which was good) but was also frustrating at times. In any case, thanks for an overall-great course!

von Luis R

Oct 16, 2019

The best course of Machine Learning.

von 王晟华

Oct 16, 2019

very good

von Hendryk T W

Oct 16, 2019

The course has been a great overview about machine learning problems and algorithms. It also covers further details like advantages/disadvantages of certain techniques or ways to handle performance analysis and optimisations. Most explanations can be understood easily. Both videos (with visualisations) and texts are given to present the content (in the end there are less summaries).

The programming exercises are very helpful, as one can see the algorithms work and really needs to understand all the ideas to implement them correctly. There are also lots of little tests which ensure one does pay attention to the lectures.

Unfortunately there are some minor mistakes in the materials, which may be confusing until one looks for the issue on the forum (there are lists with the errata).

von Assaf S

Oct 17, 2019

This is a great course!!! Though It has been years since I touch code, the course takes you step by step to success and fun.

von Marko M

Oct 17, 2019

An awesome course! It provides a deeper understing of maths behind some of the most popular machine learning algorithms and dives deep into how these algorithms work. Really enjoyed the programming assignments.

von wangyang

Oct 17, 2019

This is a great course for introduction to machine learning.

von Scott S

Oct 18, 2019

Extremely well crafted and executed. Prof Ng does a fantastic job navigating through the material!

von Shrikrishna M

Oct 18, 2019

Something of which I will be thankful all my life. Made a very big impact on mine life.

von Shreyas S P

Oct 18, 2019

Andrew is fenomenal