Chevron Left
Zurück zu Supervised Machine Learning: Regression and Classification

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

360 Bewertungen
91 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....



29. Juni 2022

Perfect balance of application and theory, and wise choices in ramping up the complexity gradually. Discussion boards are very helpful, feels very much like personalized learning. Thank you!


22. Juni 2022

Excellent course, very logical and well structured. Highly recommended to anyone interested in learning about this topic. Assignments are on the easy side but you learn a lot nonetheless.

Filtern nach:

76 - 100 von 111 Bewertungen für Supervised Machine Learning: Regression and Classification

von anik g

23. Juni 2022

Best ML course to gain the foundational skills!!

von 学洲 刘

20. Juni 2022

Very excellent course to recap ml foudation.

von Abdelrhman A

22. Juni 2022

World-class and the best course in ML ever!

von Süleyman M P

18. Juni 2022

It is very basic and understandable course

von HarshilShah

30. Juni 2022

Course content is perfect for beginners.

von Yuhao W

4. Juli 2022

better than before, with python coded

von Gorgui B M

1. Juli 2022

Great professor and exellent content!

von Henrik S

27. Juni 2022

I​t was everything I wanted it to be!

von Janice C

2. Juli 2022

P​refect course for beginners

von Muhammad A

30. Juni 2022

Awesome! Totally worth it!

von Tom J

25. Juni 2022

T​op notch. Superlative.

von Pak Y H

22. Juni 2022

Best online course!

von Gabriel R

20. Juni 2022

Very good course :)

von Leon ( Q

29. Juni 2022

Lab is very useful

von killian p

22. Juni 2022

Very well taught !

von Hritik A

30. Juni 2022

Very Nice Content

von Fernando A

28. Juni 2022

Excellent course!

von 文军 彭

29. Juni 2022

Teach me a lot!

von Mitchell C

21. Juni 2022

Amazing course!

von Michel M F

28. Juni 2022

Great course!

von Trang Q K

27. Juni 2022

Great course.

von Science

30. Juni 2022

it's so good

von Robert K

29. Juni 2022


von Sanchit J

29. Juni 2022

Great Course

von Raman C

29. Juni 2022