how many students completed andrew ng course

by May Harris 6 min read

Also a pioneer in online education, Ng co-founded Coursera and deeplearning.ai. He has successfully spearheaded many efforts to "democratize deep learning" teaching over 2.5 million students through his online courses.

It is estimated that 1% — 15% of users who start complete the course. So, at the low end 26,321 and the high end 394,818 enrolled users have seen the course all the way through. I completed the course on November 11, 2019, and this will be an honest review of this course.Nov 13, 2019

Full Answer

What is Andrew Ng’s machine learning course?

Therefore about 50000 students have taken the course. By looking at the change in thread over the first and last week , about 5–15% of the students actually finish the course. Many students may finish the course without participating in any group discussion and many post multiple threads thus the information isn't adequate for a specific answer.

How old is Andrew Ng?

Jun 07, 2018 · In fact, Ng’s original Stanford MOOC remains the most popular course offered by Coursera. Since the course began in 2012, it has drawn more than 1.7 million enrollments. (It now runs on demand, so people can sign up anytime.) And his new series of courses through Deeplearning.ai, which kicked off last year, have already exceeded 250,000 signups.

What company has hired Coursera founder Andrew Ng to start?

Nov 13, 2019 · Stanford’s Machine Learning course taught by Andrew Ng was released in 2011. 8 years after publication, Andrew Ng’s course is still ranked as one of the top machine learning courses. This has become a staple course of Coursera and, to be honest, in machine learning.. As of this article, it has had 2,632,122 users enroll in the course. That is just enrolled in, but …

How many people have enrolled in Coursera courses?

He has successfully spearheaded many efforts to "democratize deep learning" teaching over 2.5 million students through his online courses. He is one of the world's most famous and influential computer scientists being named one of Time magazine's 100 Most Influential People in 2012, and Fast Company 's Most Creative People in 2014.

Is Andrew Ng course sufficient?

No it's not enough to complete a machine learning course by Andrew Ng from Coursera or any other website. Andrew Ng course is one of the best foundational course for machine learning. The course is intended for those who want to start learning Machine Learning.

Is it worth paying for Andrew Ng's machine learning course on Coursera?

Andrew Ng's course remains a top-ranked machine learning course because of its unique way of teaching. This course is blended with many standardized learning opportunities provided by Stanford University. If the question is about what you pay worth, you need to consider the course from below to aspects.

Is Andrew Ng's course good?

It's one of the best-run technical courses on Coursera. The main reason is that the programming assignments are substantial and require a solid understanding of the material to complete. Other online intro ML courses have much less satisfying assignments (Udacity, Caltech, and a few on edX).

What should I do after Andrew Ng machine learning course?

  • The first thing you need to do is take your ML knowledge to the advanced level or, more clearly, to the operational level. ...
  • I'll tell you two alternative ways through which you can proceed further to a bright machine learning career.
  • Completion of Coursera Andrew Ng's ML course means your ML base is clear now.

Is Andrew ng/ml course still relevant?

Stanford's Machine Learning course taught by Andrew Ng was released in 2011. 8 years after publication, Andrew Ng's course is still ranked as one of the top machine learning courses. This has become a staple course of Coursera and, to be honest, in machine learning.Nov 13, 2019

Is Andrew Ng course for beginners?

The course is introductory level and is designed for complete beginners to machine learning. You don't need any prior experience with machine learning tools and libraries.Jan 19, 2017

Is Andrew Ng course difficult?

If you have maths background, then with little focus you can understand it very well. But if you have difficulty in maths then this course is very difficult for you. Machine learning and deep learning is all about maths. Linear algebra, calculus, stats are very important for ML.

Is Machine Learning by Andrew Ng good for beginners?

Machine Learning course by Andrew Ng & Stanford review

As I will say later, this course is the best choice for beginners, but everything in our world has drawbacks. I tried to notice some of them and attach links to sources, studying which you should have a more complete picture of Machine Learning and Data Science.
Oct 29, 2021

What language is Machine Learning by Andrew Ng?

Andrew Yan-Tak Ng (Chinese: 吳恩達; born 1976) is a British-born American computer scientist and technology entrepreneur focusing on machine learning and AI.
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Andrew Ng
FieldsArtificial intelligence, machine learning, natural language processing, computer vision
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What course should I take for artificial intelligence?

A computer science degree is a common choice for students who want to work in artificial intelligence. Many schools offer computer science programs with a track in AI or machine learning. This specialization allows students to take various classes in AI to help prepare them for careers in this field.Oct 7, 2021

Is Coursera machine learning course free?

This Coursera machine learning course is titled simply "Machine Learning" and it's 100% free to take. You'll only need to pay if you want a shareable machine learning certification from Coursera upon completion (though this may be appealing to potential employers).Mar 16, 2022

Who is Andrew Ng?

Andrew Yan-Tak Ng ( Chinese: 吳恩達; born 1976) is a British-born American computer scientist and technology entrepreneur focus ing on machine learning and AI. Ng was a co-founder and head of Google Brain and was the former Chief Scientist at Baidu, building the company's Artificial Intelligence Group into a team of several thousand people.

Where did Ng get his masters degree?

In 1998 Ng earned his master's degree from the Massachusetts Institute of Technology in Cambridge, Massachusetts. At MIT he built the first publicly available, automatically indexed web-search engine for research papers on the web (it was a precursor to CiteSeer / ResearchIndex, but specialized in machine learning).

Who is Ng from Google?

Ng was a co-founder and head of Google Brain and was the former Chief Scientist at Baidu, building the company's Artificial Intelligence Group into a team of several thousand people. Ng is an adjunct professor at Stanford University (formerly associate professor and Director of its Stanford AI Lab or SAIL ).

Where is Ng from?

Ng was born in United Kingdom in 1976. His parents are both immigrants from Hong Kong. Growing up, he spent time in Hong Kong and Singapore and later graduated from Raffles Institution in Singapore in 1992.

What is Ng's research?

Research. Ng researches primarily in machine learning, deep learning, machine perception, computer vision, and natural language processing; and is one of the world's most famous and influential computer scientists.

Why did Ng support basic income?

In 2017, Ng said he supported basic income to allow the unemployed to study AI so that they can re-enter the workforce. He has stated that he enjoyed Erik Brynjolfsson and Andrew McAfee's " The Second Machine Age " which discusses issues such as AI displacement of jobs.

What are the most popular courses on Coursera?

As of 2020, three of most popular courses on Coursera are Ng's: Machine Learning (#1), AI for Everyone, (#5) , Neural Networks and Deep Learning (#6). In 2008 his group at Stanford was one of the first in the US to start advocating the use of GPUs in deep learning.

Who is Andrew Ng?

Andrew Ng is the co-founder of Google Brain and Coursera, and an adjunct professor at Stanford University. He was also a former vice president and chief scientist at Baidu working on large scale artificial intelligence projects. Therefore, without a doubt, Andrew Ng is one of the most knowledgeable people in the world for teaching machine learning.

What is K-means clustering?

K-Means Clustering is one of them. It is used to group data into different clusters by procedurally moving centroids towards the gravity of the data points.

What is support vector machine?

Support Vector Machine (SVM) is another solution to classification problems. The instructor does not go in depth into this subject, but still gives us a clear view on its mechanics and its intuition. The overall idea is to compute new feature depending on proximity to established landmarks.

What is the purpose of principal component analysis?

Principal Component Analysis allows us to approximate and transform high-dimensional feature sets into lower dimensional ones.

Is Octave a copy of Matlab?

The basic syntax of Octave programming language is introduced here. Since Octave is practically a carbon copy of Matlab, so people with good knowledge in Matlab could skip this section. However, those who are not familiar with scientific programming languages like Matlab would find this section useful because you will learn how to manipulate matrices in programming languages as well as vectorizing a problem.

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