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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: 360
Рецензии: 91

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

PD

29 июня 2022 г.

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!

DC

22 июня 2022 г.

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.

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26–50 из 104 отзывов о курсе Supervised Machine Learning: Regression and Classification

автор: Nabil C

20 июня 2022 г.

The content is very well architected with math being introduced just in time. The delivery is excellent. Quizzes and labs keep you engaged and focused. This was a very pleasant journey. I am definitely going for the next course.

автор: Divyesh S

27 июня 2022 г.

I really like this course . The course is very interactive . Andew sir and team did a fabulous job explaining each and every concept of classification and regression very intuitively. Thank you so much Andrew sir and the team

автор: Mirnajaf A

27 июня 2022 г.

This course is so cool because not only it teaches the detailed concepts of Machine Learning Algorithms but also provides us with practical part with modern programming language Python which makes it extra amazing.

автор: Shirshak A

2 июля 2022 г.

Andrew NG is the best teacher of all time. It is because of Andrew I am so much passonate about AI and Machine Learning. I really want to mee my Guru Andrew ng and Thank him for Teaching us. Thank you andrew sir🙂

автор: aakash b

23 июня 2022 г.

In the world of today when most people are pursuing courses for an embellishment of their CV, this course shows that the best minds are those which focus only on learning without worrying about the consequences.

автор: Bruno P

29 июня 2022 г.

Great. For me, this course was a personal milestone, where I was able to understand the mathematical roots of machine learning and at the same time its implementation without necessarily decorating libraries.

автор: Ashraf H

26 июня 2022 г.

I​t was a great learning experience! Thanks to Dr. Ng and to everyone who contributed to creating this wonderful course. The content was very accessiable and made learning such a complex subject, quite easy.

автор: Jeff W

2 июля 2022 г.

I started taking the old version and then I heard this one was coming, so I did the new one instead. Much better! Great to be in Python and even clearer lectures. Prof Ng is easy and fun to listen too.

автор: Ciro M P

1 июля 2022 г.

G​reat course. Easy to understand but deep in contents. Accesible even if english is not you mother tonge, but better if you have certain math base knowledge. The Jupyter notebooks are so useful.

автор: Pritam D

30 июня 2022 г.

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!

автор: Dan C

23 июня 2022 г.

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.

автор: stephane d

26 июня 2022 г.

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!

автор: Jianhua M

25 июня 2022 г.

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."~

автор: Rahul P

23 июня 2022 г.

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

автор: Ryan M

25 июня 2022 г.

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.

автор: Robin G

27 июня 2022 г.

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.

автор: Diego C M

25 июня 2022 г.

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

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: 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: Joe R

28 июня 2022 г.

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

автор: marlon

25 июня 2022 г.

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

автор: Laís S L

30 июня 2022 г.

Lectures and exercises are very well explained and easy to follow. Thank you Andrew Ng for this excellente course.

автор: Rahul P

3 июля 2022 г.

​very nice and biginier friendly course.pratice labs have best visulization to understand concepts.

автор: Baki G

3 июля 2022 г.

Andrew, you are a great teacher. I wish all my teachers were like you when I was at university.