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
5,370 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....

Top-Bewertungen

JM

21. Sep. 2022

Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses

AD

23. Nov. 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

Filtern nach:

876 - 900 von 1,243 Bewertungen für Supervised Machine Learning: Regression and Classification

von Mohaned M

11. Sep. 2022

von Zaid R

23. Juli 2022

von Diaa E

16. Juli 2022

von Ella N

18. Nov. 2022

von Shuo L

17. Nov. 2022

von Milos I

16. Nov. 2022

von Vincent C

5. Nov. 2022

von Hamidreza M

17. Okt. 2022

von Sayak H

6. Okt. 2022

von gautam g

23. Juli 2022

von PhucVTHE161744

12. Juli 2022

von naro

30. Okt. 2022

von muhammad a a

29. Okt. 2022

von JULIUS M

6. Sep. 2022

von Zaur s

30. Aug. 2022

von Happy

14. Aug. 2022

von Clément N

9. Nov. 2022

von AABID I S

19. Okt. 2022

von Saurabh T

10. Okt. 2022

von Ale S

24. Aug. 2022

von Mahmoud A

24. Juli 2022

von Janice C

2. Juli 2022

von Luis A A R

8. Nov. 2022

von saravanan p

4. Nov. 2022

von Mohammad M

11. Okt. 2022