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Вернуться к Supervised Machine Learning: Regression and Classification

Отзывы учащихся о курсе Supervised Machine Learning: Regression and Classification от партнера

Оценки: 6,990

О курсе

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....

Лучшие рецензии


23 нояб. 2022 г.

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.


21 сент. 2022 г.

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

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451–475 из 1,558 отзывов о курсе Supervised Machine Learning: Regression and Classification

автор: Vishva M

23 дек. 2022 г.

One of the best courses I have ever taken and Andrew is the best teacher in the world. He will make everything easier to understand.

автор: Dnyaneshwar G

29 нояб. 2022 г.

Course is designed very effectively to get concept behind each algorithm and help in hands on coding of algorithm.

Thank you so much!

автор: Ahsan A

20 нояб. 2022 г.

If you want to know what is machine learning in actual you must take this course. This course teaches machine learning from scratch.

автор: yraion0

23 сент. 2022 г.

That's amazing and the first course that i really understand fully the concepts and maths behind the technics of Machine Learning.

автор: Murat A

8 окт. 2022 г.

Great Course. You can understand complex machine learning concepts one by one in a simple way here. Andrew Ng is a great educator.

автор: Ricardo F d B

9 июля 2022 г.

Muy buen curso, bien explicado por el Prof. Ng. La parte de los ejemplos es muy importante y fortalecen los conocimientos teóricos.

автор: Gayan D J W

19 авг. 2022 г.

New videos, usual great teaching style of Andrew and new visual models with labs make this course a wonderful learning experience.

автор: Chajin O

8 дек. 2022 г.

It was a lecture that clearly organized the artificial intelligence that I had learned so far.

Thank you to those who prepared it.

автор: JIAN H

25 авг. 2022 г.

Very good course, very suitable for beginners, especially the use of python makes all the concepts can be more clearly understood

автор: Derpmaiden A

27 июня 2022 г.

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

автор: Davi W M

21 июня 2022 г.

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 :)

автор: Piyush K

5 дек. 2022 г.

Very well-structured and informative course. The intuition-based teaching and interactive python notebooks boost learning a lot.

автор: Jayneisha H

31 окт. 2022 г.

It was a great course. I really enjoyed it. Professor Andrew does a great job of explaining concepts and I love his enthusiasm.

автор: Mangesh W

27 авг. 2022 г.

It is really a good journey. Really a good course. The way concepts were explained with help of 3D visualization is appreciated.

автор: Briant J C

17 янв. 2023 г.

Thank you for this fantastic course. The interactive and visualizable optional labs were unique for understanding the concepts.

автор: Behnaz S

23 июля 2022 г.

i have learnt a lot from this course. your way of teaching these new subjects, has made me eager to learn more an more about ML

автор: Christine Z

30 июня 2022 г.

Love it! Even the math parts are easy to follow! However, the Labs are a little bit overwhelming especially at the beginning ;p

автор: Meghna P

25 дек. 2022 г.

Its an excellent course, very interesting and the integrated labwork in jupyter notebook makes it easier for non programmers.

автор: umbrella

12 окт. 2022 г.

The course content is very detailed, and the practice after class is also very helpful. I hope it can be subtitled in Chinese.

автор: Kunal D

8 окт. 2022 г.

It's a best beginner course for non ML learner. Andrew just nailed every lecture by giving corresponding real world cenarios


27 окт. 2022 г.

An excelent course covering the basic concepts regarding machine learning without much fuss about the mathematics behind it.

автор: ghazal g

12 окт. 2022 г.

thank you very much for this wonderful course, i'm so greatful for the teacher, his information and his way in presentation.

автор: Devender S

18 сент. 2022 г.

World's finest course of Machine learning. Highly recommends you to start your journey into the world of machine learning.

автор: Irfan R

27 янв. 2023 г.

Nice course. It covers the portions Linear Regression , Logistic Regression and many more topic related to them very deeply.

автор: Krishnendu B

7 нояб. 2022 г.

Really a great course to have as a beginner in Machine Learning. A very simplified explanation is there. I am very grateful.