Chevron Left
Zurück zu Supervised Machine Learning: Regression and Classification

Bewertung und Feedback des Lernenden für Supervised Machine Learning: Regression and Classification von

2,084 Bewertungen

Über den Kurs

In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start....



16. Juli 2022

It is the Best Course for Supervised Machine Learning!

Andrew Ng Sir has been like always has such important & difficult concepts of Supervised ML with such ease and great examples, Just amazing!


4. Juli 2022

Andrew Ng is the best proctor for Machine Learning. The course has been perfectly balanced with thoritical as well as practical aspects. After this course I feel so confident. From ZERO to HERO

Filtern nach:

251 - 275 von 525 Bewertungen für Supervised Machine Learning: Regression and Classification

von Aleksander S

20. Juli 2022

Very nice. Intuitive. Explaned clearly and with just enough details. Expecting more!!

von Thomas D

17. Juli 2022

Exceptional course that does a great job breaking down the math behind the ML models.

von Alessandro D

6. Juli 2022

Ótimo curso, e os exercícios práticos ajudam bastante quanto a questão de programação

von Yung-Hui H

15. Aug. 2022

Intuitive explanations to help understanding, highly recommended introductory course

von Akshit A

3. Aug. 2022

Amazing course with adequate content on the mathematical intuition ; no more no less

von Aiden S

2. Aug. 2022

Goes well into the practical approach of machine learning , really enjoyed the labs.

von Valentin R

3. Juli 2022

The Course is amazing. Every minute of learning was woth it. What a crack Andrew Ng!

von Otuazohor P

6. Aug. 2022

It was a very detailed and down to earth introduction to machine learning for me.

von John

1. Aug. 2022

Excellent Course in every regard. Looking very forward to the next in the series!

von Gautam S

16. Juli 2022

I really like the way the course is structured in a very simple yet thorough way.

von nicholas m

7. Aug. 2022

Insightful and engaging course! Didn't expect amything less from Andrew and team

von 李大明

18. Juli 2022

From theory to practice, the teacher's explanation is very thorough and logical.

von Adeel H

22. Juli 2022

Very well explained and also sufficient optional lab to give more clear picture

von Krishalika R

17. Juli 2022

A good course even for beginners. Optional and practice labs are well designed.

von Rafael d F L

15. Juli 2022

curso básico, não recomendo para quem já estuda machine learning há algum tempo

von Masoud S

11. Juli 2022

C​lean, high quality, orderly, neat, to the point, no redundancy, no confusion.

von 회사원코딩

30. Juli 2022

기대 이상이다. 간결하지만 핵심을 가격한다. 생활코딩 같은 난이도에, 잘 짜여진 코드로 이해를 더욱 돕는다. 그 어떤 책보다 낫다고 생각함.

von Ishan M

27. Juli 2022

G​reat course, start from very basic and helpful in building solid foundation.

von Shrirang M

23. Juli 2022

Great teaching methodology. Prof Andrew covered each and every topic in depth.

von Deleted A

11. Juli 2022

Very well designed course. A ton of thanks to Dr. Andrew Ng and Team Coursera.

von anup

11. Aug. 2022

A​wesome learning experience, including refreshers through the practice labs!

von Dhanemkula S N N K V K

14. Juli 2022

Good mathematical explanation how maths behind the algorithem is just awesome

von Deleted A

30. Juni 2022

Everything is explained very clearly. Thanks to Professor Andrew and Coursera

von Kizmaz E

11. Aug. 2022

a very impressive, entertaining and productive course. Thanks for everyting.

von Fabio

4. Aug. 2022

Great course with fundamentals of linear regression and logistic regression.