I think Ng is a good teacher and does a great job simplifying the ideas without dumbing them down. He covers quite a bit of content and the programming exercises were extremely helpful. I was pleased to see that in the early lectures you have to implement things like backprop by hand instead of using deep learning libraries.
His intro to ML course is very good. If you are really interested in deep learning then his other courses are going to be quality but if you're looking for practicality stick to the intro course and move to industry specific topics - a few good ones ive come across are quantitative finance taught by igor halperin and bio statistics by johns hopkins
It is a pretty good course, although there is some hand waving concerning details and it mostly focuses on predictive modeling and somewhat less on theory. If you want to learn theory, the best MOOC is "Learning from data" on edX offered by CalTech, although I'm not sure if and when it will be offered again.
I didn't do Andrew Ng deep learning specialization but I read everywhere that it is really good. But it starts from theory and builds toward real world use. I would recommend the fast.ai course instead to start. It starts with real world use of deep learning and gradually work toward theory. Really enjoyed 2018 and 2019 version of the course.
The course "Learning From Data" by Abu-Mostafa is a pretty good but intensive introduction to Machine Learning. What I don't like about the Andrew Ng course is that it covers the mechanics of machine learning and not mathematics as such. I may be wrong but I was able to derive better intuitions from the course by Abu-Mostafa and get my concepts cleared much faster. Hope this …
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.Nov 13, 2019
How long does it take to finish Andrew Ng's Deep Learning Specialization as fast as possible? I have spent roughly 2 weeks on all 5 courses at that specialization taken together and working on lectures and homeworks for about 4–8 hours a day (including weekends).
Overall, I think the specialisation is a great resource to learn about Deep Learning and artificial neural networks. It contains a lot of material, and the quizzes and notebooks really test your understanding of the contents.May 11, 2020
If you want to take Andrew Ng's Machine Learning course, you can audit the complete course for free as many times as you want. Let's dive in!Dec 11, 2020
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.
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.
The content is well structured and good to follow for everyone with at least a bit of an understanding on matrix algebra. Some experience in writing Python code is a requirement. The programming assignments are well designed in general. Apart of their instructive character, it's mostly enjoyable to work on them, too.Mar 18, 2018
Having gone through the three courses that are currently available, I have to say that overall this specialization is very good. It's as good - and maybe even better - than his original Machine Learning MOOC, which is saying something. Using Python and Tensorflow instead of Matlab is certainly an improvement.
All of the video interviews and lectures are available free on the deeplearning.ai YouTube channel.
Is Machine Learning a Good Career Path? Yes, machine learning is a great career path if you're interested in data, automation, and algorithms as your day will be filled with analyzing large amounts of data and implementing and automating it.
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.
Are Coursera Certificates worth it? On the whole, yes. If you're seeking promotion, looking for a career change, or the skills you are learning are highly sought after, then a Coursera Certificate is definitely worth the investment. Coursera partners and course providers are world class.
We made a compilation (book) of questions that we got from 1300+ students from this course.
I am not from a CS background and most of my friends are not into this domain so I really find it tough to get on a project and collaborate, I am an electrical engineering graduate and willing to network with like minded people who can help each other and clear doubts now and then and obviously collaborate so that we all can grow.
Hi. My background is in psychology. I am looking to stick to one language, mostly for data analysis purposes.