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

4.9
121,183 Bewertungen
29,752 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

CC

Jun 20, 2018

good course; just 2 suggestions: improve the skew data part (week 6) and furnish the formula to evaluate the number of iteration in the window from image dimension, window dimension and step (week 11)

RC

Jul 19, 2019

Amazing course. It gets deep into the content and now I feel I know at least the basics of Machine Learning. This is definitely going to help me on my job! Thanks Andrew and the mentors of the course!

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25676 - 25700 von 28,883 Bewertungen für Maschinelles Lernen

von Luis M R

Oct 09, 2019

Very useful to refresh what learned at the university long ago and get up to date. It is very well organised and I enjoyed a lot doing the practical exercises. Many thanks for doing this course.

von Jarvins A

Oct 08, 2019

This is the most useful class I have taken during the first step of my ML study, there are many useful advice and suggestions I had not seen in other classes;

von Ahmad M

Oct 08, 2019

excellent!

von Eric O

Oct 08, 2019

Great course and review of machine learning algorithms.

von Vikas U

Oct 09, 2019

Very impressive way of teaching, excellent content and nicely organized supporting material.

von Mohammad G

Oct 09, 2019

Great Course in Machine Learning! I am very happy that I have successfully finished the course :)

von Piyush A

Oct 09, 2019

It is a great course with good insights for each supervised and unsupervised learning and how to measure the error and how to tune the algorithms after finding the cause.

It will be great if python can also be included as a part for doing exercises. Overall, I am thankful to Andrew Ng for dedicating his time and sharing his knowledge with us

von Surbhi M

Oct 09, 2019

Very informative and learnt a lot. Andrew Ng is very good and provides good explanation.

von eudora

Oct 10, 2019

Thank you very much, teacher Wu!

von sunzhongtai

Oct 10, 2019

great excellent

von Dubon R

Oct 08, 2019

More detailled and much better than I expected ! First, I just wanted to get some skills in machine learning so I chose this online course. But I was pleasantly suprised when I discovered it's as complete as my courses at university. I really appriacte this course and I am sure that it will be helpfull in my future works as engineer or as businessman.

von yanlei

Oct 09, 2019

非常好的课程, 里面的东西从浅入深, 但也需要课后不断的自我充实, 给我很多的学习动力.

von Vishal B

Oct 09, 2019

The course was excellent and has helped me get a better understanding of Machine Learning,thanks to Prof. Andrew NG

von Vivek V

Oct 09, 2019

Awesome

von Marcos B G

Oct 09, 2019

By far, the best intro to advanced classical Machine Learning course

von Annika K

Oct 10, 2019

Great course! Highly recommend it to anyone!

von Emre Y

Oct 10, 2019

good

von Dennis P

Oct 08, 2019

Buen curso de introducción en este tema.

von wangyuqi

Oct 09, 2019

It is really a good course for a primary learner. It will help you construct your machine learning systems in your mind.

von abey b

Oct 09, 2019

the best machine learning course i ever came across. Thank you very much Andrew Ng.

von Sarabjot S

Oct 09, 2019

Great Experience.

von Samir K S

Oct 09, 2019

Very very good course contents and presentation

von Naveen S

Oct 09, 2019

"Bohot Hard"

von Carlos A E L

Oct 09, 2019

Es un gran curso si quieres entrar a conocer machine learning. Tener algunas herramientas básicas de matemáticas como álgebra lineal básica, es decir, operaciones con matrices, y nociones sobre derivadas paricales es más que suficiente. Las explicaciones son claras y lo que más me gustó es la manera en que se realiza cada tara, en la que se te da una plantilla sobre la que tienes que ir programando, esta te va guiando en cuáles son las tareas a realizar y califica si hiciste bien cada caso. He probado otros cursos en linea y este me ha parecido el mejor.

von Satyam A

Oct 10, 2019

Still the best ML course