Chevron Left
Вернуться к Supervised Machine Learning: Regression and Classification

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

4.9
звезд
Оценки: 3,338

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

AM

16 июля 2022 г.

It is the Best Course for Supervised Machine Learning!

Andrew Ng Sir has been like always has such important & difficult concepts of Supervised ML with such ease and great examples, Just amazing!

MP

10 сент. 2022 г.

It's completely fine. I have learned a lots of thing in this first course of specialization. Thanks to courseera for giving such a good and fine course on financial aid. I am very thankful to them.

Фильтр по:

226–250 из 879 отзывов о курсе Supervised Machine Learning: Regression and Classification

автор: Nayrouz H

•

5 авг. 2022 г.

автор: Waseem K

•

14 сент. 2022 г.

автор: Ahmed S

•

23 авг. 2022 г.

автор: Andrew M

•

24 июля 2022 г.

автор: Ahmed s h e

•

7 сент. 2022 г.

автор: Abdulkareem A

•

10 авг. 2022 г.

автор: rachad l

•

29 июля 2022 г.

автор: Yufeng S

•

27 авг. 2022 г.

автор: Victor A M

•

8 авг. 2022 г.

автор: stephane d

•

26 июня 2022 г.

автор: Jianhua M

•

25 июня 2022 г.

автор: Ardent S

•

5 июля 2022 г.

автор: Pankaj K

•

19 авг. 2022 г.

автор: A39_ S A

•

25 сент. 2022 г.

автор: Nitheesh B

•

3 авг. 2022 г.

автор: Chaitanya B

•

19 июля 2022 г.

автор: Sangram B

•

18 сент. 2022 г.

автор: BHARAT K

•

20 авг. 2022 г.

автор: Yousef G

•

20 авг. 2022 г.

автор: Rahul P

•

23 июня 2022 г.

автор: Ali A d s

•

18 авг. 2022 г.

автор: Aditya M

•

11 авг. 2022 г.

автор: Ivan Z

•

21 авг. 2022 г.

автор: Tarandeep S

•

24 июля 2022 г.

автор: Sumedh K

•

3 сент. 2022 г.

Coursera Footer

Начните карьеру или продвиньтесь по карьерной лестнице

Смотреть популярные темы

Популярные курсы и статьи

Получите диплом или сертификат онлайн

Coursera

Сообщество

Еще

Учитесь, где угодно
Placeholder
Placeholder
Placeholder