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

4.9
119,262 Bewertungen
29,280 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

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.

NN

Oct 15, 2016

It's a good introduction - not too complicated and covers a wide range of topics. The programming exercises are well put together and significantly help understanding. The free Matlab license is nice.

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25826 - 25850 von 28,386 Bewertungen für Maschinelles Lernen

von SANJAY K

Sep 23, 2019

AWesome!!!!

von João M P F

Sep 23, 2019

It's an amazing course, great teacher. Everything very well explained, the programming exercises very well supported: need time to be made but nothing about we haven't learned to do. In just 12 weeks a lot of things learned about this exciting topic, machine learning.

von Robert A L

Sep 23, 2019

Thanks Prof. Andrew.

von Hamid " B

Sep 23, 2019

Life changing course.

It is not very easy to go all the way to the end but surely rewarding.

It covers all the most important concepts

von GC U 1

Sep 23, 2019

hgfhgfghfhg

von Barnabas A N

Sep 24, 2019

I had fun learning. Andrew is an excellent instructor who makes difficult to understand concepts easy to follow. He has inspired me to continue learning Machine learning since it is not as scary as I thought.

von Sakthi V

Sep 24, 2019

Really good starter course, gave me good understanding about machine learning

von Cường N N

Sep 26, 2019

It's very interesting course which help me gain more knowledge about machine learning and mathematical optimization

von Bentaher F

Sep 23, 2019

انا متحمس لاكمال هدا الدرس

von Satvik M

Sep 24, 2019

Going smoothly and learning the new thing with full of joy

von Tetsuya T

Sep 25, 2019

Very great opportunity for me. Thank you, Prof. Andrew and many stuffs involving this class! Especially Mr. Tom Mosher, your very quick response was surprised and pleased me.

von Mengmeng J

Sep 26, 2019

Excellent course! Lectures were informative, engaging, and concise. I loved the focus on explaining the intuition for the techniques and formulas. Homeworks were composed of interesting examples too!

von Andrius V

Oct 16, 2019

Great course to get you up to speed in machine learning!

von Mohan K

Oct 16, 2019

it was a great learning experience

von Nupur I

Oct 17, 2019

Absolutely brilliant, well-paced and truly informative. The best thing about this course, is that it gives you a chance to not only create your own solutions, but also to improve them. It truly was an awesome experience, and the knowledge that I have gained here, I hope to use as much as I can.

Thank you for everything!

von zhoulijun

Oct 17, 2019

入门

von Sagara P

Oct 17, 2019

Packed with information, theory and practical considerations of Machine Learning. Andrew Ng is an awesome teacher and this course is highly recommended for entry into ML/AI.

von Ashok K D

Oct 18, 2019

A very well-rounded course with lots of information.

von Frederik

Oct 18, 2019

From falling around in knowing where to start this was a great starter in ML.

von Shobhit S

Oct 15, 2019

I am very thankful to the instructor for the content covered in course and the explanation provided , he goes deep into mathematics where it is required and tells the intuition behind it to clear all doubts am also thankful to the active community whenever i ad doubt i visited community and saw someone already asked that .

von Diogo T

Oct 15, 2019

Congratulations to Andrew Ng and Coursera for a truly excellent course, inspiring, relevant and very well structured and taught. Impressive!, Thank you.

von Werikson d S R

Oct 16, 2019

Awersome

von sourabh

Oct 17, 2019

This course was the best course i have ever seen on the Machine Learning Field.It is explained in so simplified way that anybody naive for the field can understand the intuition behind so easily.The core mathematical concepts which lead to the development and rise of Machine learning and which are so natural and therefore easy to understand are explained first and then they are expanded so that we learn the whole thing from its base to the real-world usage.I would really like to thank Andrew Ng for creating the course and teaching so keenly so that everybody can understand and become more passionate about the field.Thanks!

von Biraj G

Oct 17, 2019

Love the fact that the Math is so detailed and well explained. Hope to apply all these algorithms very soon

von Eric D

Oct 17, 2019

It really is a great place to start. Machine Learning can be confusing and frustrating when you learn it at first but here, it is different. It is even fun!