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
208 Bewertungen
51 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

DC

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.

R

24. Juni 2022

absolutely amazing course, coding assignments are designed perfectly and the course helps in understanding the working and the math behind the algorithms which makes it so recommendable.

Filtern nach:

26 - 50 von 62 Bewertungen für Supervised Machine Learning: Regression and Classification

von stephane d

26. Juni 2022

I had taken the first specialization which was already very good. This revisited course is also interesting even for those who already knew the first version!

von Jianhua M

25. Juni 2022

A​ndrew Ng can turn unimaginable and ingenious ideas into very simple and obvious truths !

~​"The fragrance always remains in the hand that gives the rose."~

von Rahul P

23. Juni 2022

Very good explanition of concepts of machine learning.Most impresive is optional labs with intractive viz of concepts .Thanks for such great course!!!

von Ryan M

25. Juni 2022

Good for beginners. If you have taken the previous online course 'Machine Learning' taught by Prof. Andrew Ng, you may find this course much easier.

von Robin G

27. Juni 2022

The class is a very nice introduction to the topic. It gives both an intuitive and formal understanding of the topics covered. Highly recommend it.

von Diego C M

25. Juni 2022

Andrew Ng makes an outstanding job explaining the math behind the magic :) The Jupyter Notebooks are definitely a game changer. Well done!

von Derpmaiden A

27. Juni 2022

Excellent explanation of the subject materials. A very good starting point to develop intuition on key machine learning concepts.

von Davi W M

21. Juni 2022

If you are new in the world of ML, here is where you begin your journey. Thanks Andrew Ng and Coursera for this amazing course :)

von Joe R

28. Juni 2022

Excellent update on the original course. The coding tutorials are much more intuitive now they are in Python. Good job all.

von marlon

25. Juni 2022

Excellent. Andrew and his team developed a great introduction, where you can feel comfortable at any level of knowledge.

von Mihai B

24. Juni 2022

E​xcellent at building intuition for ML. Great course for both newcomers and veterans.

von Python P

22. Juni 2022

Really enjoyed this course and looking forward to the next one in this specialization.

von José A M

26. Juni 2022

Great to learn machine learning foundations without any previous knowledge.

von Michael J

23. Juni 2022

THE G​old standard in terms of courses you can find for Machine Learning...

von Hoang D Q

26. Juni 2022

Nicely instruction from Andrew Ng about regression and classification

von Val A B

22. Juni 2022

L​ectures were simple and the math can be easily translated to code.

von Jinlong H

18. Juni 2022

very useful! Prof. Andrew Ng is absultely a great educator.

von Sheng-Wang C

26. Juni 2022

R​efresh myself about machine learning from Ng's lectures.

von Yasser A M

19. Juni 2022

E​xcellent , well Organized and very structure approch .

von Kanai P

28. Juni 2022

Loved the pace of videos, and the programming labs.

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 Henrik S

27. Juni 2022

I​t was everything I wanted it to be!