how long does the andrew ng course take?

by Prof. Kiara Okuneva 5 min read

4 months (5 hours/week) > Andrew Ng, Cristian Bartolomé Arámburu, Robert Crowe, Laurence Moroney Enroll Now

What Is The Course Structure? This 11-week completely online course is comprised of video and reading lectures, quizzes, and programming assignments. Not all weeks will contain programming assignments, but every weekly topic will have its quiz.Nov 13, 2019

Full Answer

How long does it take to finish Andrew Ng’s machine learning course?

Answer (1 of 3): Hey there! It all depends on how dedicated you are towards it, and how fast you can grasp the concept. I am not bluffing here; but I myself completed every week in the specialisation within a day or 1.5 day! You can estimate how many days it would have taken me. So, look to gras...

Is Andrew Ng's Coursera course on CS229 good?

How long did it take you to complete the Andrew NG course? I did it one hour a day, six days a week, and it took me six months. I did take good notes and sometimes I would go through the material twice to make sure I understood it.

Are Andrew Ng’s data science courses worth it?

Nov 13, 2019 · Nov 13, 2019 · 7 min read. 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 i n the course.

Who is Andrew Ng and what did he do?

Answer (1 of 6): I did the math for you. I made all quizzes 10 minutes. In some ways that’s very generous, but it depends on how many times you have to take each quiz. The following is the sum from video + reading times estimated in the course: …

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I'm about to get started with Andrew Ng's machine learning Coursera course, and I noticed that the estimated time was about 55 hours. How long did you guys spend on it? 7 comments

How long does the Andrew Ng deep learning course take?

Coursera's Andrew NG's Machine Learning course, which provides in-depth Machine Learning training, is an example of an entirely online and self-paced training course. This course will take you 54 hours to complete. If you're interested, you don't have to pay anything to take this course.

Is Andrew Ng course still relevant?

Andrew Ng's original Machine Learning course is still the best introductory course out there in my opinion, even if it may be a bit dated. If you follow it up with his recent series on deep learning, you have a powerful one-two punch that will kickstart your machine learning journey.

Is Andrew Ng course good?

It turns out that it's really difficult to write good programming assignments for a course, and Andrew Ng does a really good job. Though no formal background is assumed, it's certainly helpful to have some... This is definitely one of the best course on the fundamentals of Machine Learning, available online.

Is Andrew Ng's machine learning course good?

This course provide a lot of basic knowledge for anyone who don't know machine learning still learn. Once again, I would like to say thank to Professor Andrew Ng and all Mentor. Excellent starting course on machine learning. Beats any of the so called programming books on ML.

How many hours is Coursera machine learning?

Machine Learning, which restarted on November 26th, is currently presented as an 11-week course (55 hours in total). At intermediate level, it provides a broad introduction to machine learning, datamining, and statistical pattern recognition.Nov 29, 2018

Which course is best for machine learning?

Best 7 Machine Learning Courses in 2022:Machine Learning — Coursera.Deep Learning Specialization — Coursera.Machine Learning Crash Course — Google AI.Machine Learning with Python — Coursera.Advanced Machine Learning Specialization — Coursera.Machine Learning — EdX.Introduction to Machine Learning for Coders — Fast.ai.

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 Andrew Ng course good for beginners?

If you are interested in machine learning (you should) and you are a beginner or know very little about it, Andrew's course is the best investment of your time that you can make.Jan 19, 2017

What language is machine learning by Andrew Ng?

Octave (MATLAB)Octave (MATLAB). This is the language chosen by Andrew Ng for his excellent Machine Learning course at Stanford. Andrew has stated this was a carefully considered decision based on his experience that students learn more quickly in this high-level language.Feb 22, 2018

How much is the Stanford Machine Learning course?

Do not forget that the course materials are completely free and you need to pay only for the certificate (standard Coursera fee — about 80 USD).Oct 29, 2021

Is Andrew Ng a course?

Andrew Ng is Founder of DeepLearning.AI, General Partner at AI Fund, Chairman and Co-Founder of Coursera, and an Adjunct Professor at Stanford University. ... Previously, he was chief scientist at Baidu, the founding lead of the Google Brain team, and the co-founder of Coursera – the world's largest MOOC platform. Dr.

When was Andrew Ng machine learning course released?

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.Nov 13, 2019

Is it still worthwhile within the rapidly changing landscape of data science?

As one of the most popular Massive Open Online Courses (MOOC) for data science with over 2.6M enrolled (as of Nov 2019) and currently hitting an average user rating of 4.9/5… It’s no doubt that the Machine Learning certification offered by Stanford University via Coursera is a massive success.

What will this course cover?

The course covers ALOT, it manages to cram a surprising amount of detail into a seemingly small period. Not that it lacks any depth, in fact it is the depth of the material that I believe is the strong point of this course.

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