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
5,435 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:

901 - 925 von 1,247 Bewertungen für Supervised Machine Learning: Regression and Classification

von saravanan p

4. Nov. 2022

von Mohammad M

11. Okt. 2022

von Sudipta M

10. Okt. 2022

von Naresh A

2. Okt. 2022

von Diego A S B

8. Sep. 2022

von G. D B

4. Sep. 2022

von Yousef E

26. Aug. 2022

von GAURAV M

8. Nov. 2022

von Sundar R C

18. Sep. 2022

von MUHAMMAD A

21. Aug. 2022

von amr m

10. Aug. 2022

von Tulkin Y

5. Aug. 2022

von Felipe d L P

9. Juli 2022

von Anshuman S

3. Dez. 2022

von Judy A

9. Nov. 2022

von Aditya D

2. Okt. 2022

von Luis E M M

26. Sep. 2022

von Shivam V

20. Sep. 2022

von Fatemeh B

24. Aug. 2022

von KISHAN G

10. Aug. 2022

von Mazhar I

25. Juli 2022

von Muhammad A

9. Juli 2022

von Eric T

4. Sep. 2022

von Hyeon Y

27. Aug. 2022

von Zeeshan K Y

24. Aug. 2022