Chevron Left
Zurück zu Supervised Machine Learning: Regression and Classification

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

4.9
Sterne
3,488 Bewertungen

Ãœber 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....

Top-Bewertungen

AM

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!

MP

10. Sep. 2022

It's completely fine. I have learned a lots of thing in this first course of specialization. Thanks to courseera for giving such a good and fine course on financial aid. I am very thankful to them.

Filtern nach:

176 - 200 von 918 Bewertungen für Supervised Machine Learning: Regression and Classification

von Bruno P

•

29. Juni 2022

von Anton

•

1. Aug. 2022

von Ashraf H

•

26. Juni 2022

von Pavlo B

•

21. Aug. 2022

von Petro S

•

1. Aug. 2022

von Aneesh V

•

28. Sep. 2022

von Ahmed F

•

24. Juli 2022

von Jeff W

•

2. Juli 2022

von Surasin T

•

21. Aug. 2022

von Katerina A

•

28. Juli 2022

von Juan J B M

•

22. Sep. 2022

von Sebastian A

•

9. Aug. 2022

von Yemi D

•

3. Okt. 2022

von Fahad M

•

23. Sep. 2022

von Muhammad H P

•

11. Sep. 2022

von Anuj P

•

3. Sep. 2022

von João V B

•

19. Aug. 2022

von Mahdieh E

•

21. Juli 2022

von Sohan P

•

4. Sep. 2022

von Ciro M P

•

1. Juli 2022

von Diego F

•

25. Aug. 2022

von Lindsey A E

•

18. Sep. 2022

von Anupam D

•

3. Aug. 2022

von Gabriel T

•

3. Aug. 2022

von Elham R

•

20. Aug. 2022

Coursera Footer

Starten oder fördern Sie Ihre Karriere

Beliebte Themen durchsuchen

Beliebte Kurse und Artikel

Abschluss oder Zertifikat online erwerben

Coursera

Community

Mehr

Ãœberall lernen
Placeholder
Placeholder
Placeholder