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Supervised Machine Learning: Regression and Classification (으)로 돌아가기

deeplearning.ai의 Supervised Machine Learning: Regression and Classification 학습자 리뷰 및 피드백

208개의 평가
51개의 리뷰

강좌 소개

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....

최상위 리뷰


2022년 6월 22일

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.


2022년 6월 24일

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.

필터링 기준:

Supervised Machine Learning: Regression and Classification 의 62개 리뷰 중 26~50

교육 기관: stephane d

2022년 6월 26일

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!

교육 기관: Jianhua M

2022년 6월 25일

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."~

교육 기관: Rahul P

2022년 6월 23일

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

교육 기관: Ryan M

2022년 6월 25일

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.

교육 기관: Robin G

2022년 6월 27일

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.

교육 기관: Diego C M

2022년 6월 25일

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

교육 기관: Derpmaiden A

2022년 6월 27일

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

교육 기관: Davi W M

2022년 6월 21일

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 :)

교육 기관: Joe R

2022년 6월 28일

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

교육 기관: marlon

2022년 6월 25일

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

교육 기관: Mihai B

2022년 6월 24일

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

교육 기관: Python P

2022년 6월 22일

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

교육 기관: José A M

2022년 6월 26일

Great to learn machine learning foundations without any previous knowledge.

교육 기관: Michael J

2022년 6월 23일

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

교육 기관: Hoang D Q

2022년 6월 26일

Nicely instruction from Andrew Ng about regression and classification

교육 기관: Val A B

2022년 6월 22일

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

교육 기관: Jinlong H

2022년 6월 18일

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

교육 기관: Sheng-Wang C

2022년 6월 26일

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

교육 기관: Yasser A M

2022년 6월 19일

E​xcellent , well Organized and very structure approch .

교육 기관: Kanai P

2022년 6월 28일

Loved the pace of videos, and the programming labs.

교육 기관: anik g

2022년 6월 23일

Best ML course to gain the foundational skills!!

교육 기관: 学洲 刘

2022년 6월 20일

Very excellent course to recap ml foudation.

교육 기관: Abdelrhman A

2022년 6월 22일

World-class and the best course in ML ever!

교육 기관: Süleyman M P

2022년 6월 18일

It is very basic and understandable course

교육 기관: Henrik S

2022년 6월 27일

I​t was everything I wanted it to be!