糖心vlog官网观看

A helpful course. It would be nice to review some parts of ML projects even in more details as there are so much places where an ML engineer can be unsure.

By bringing in several real life ML examples/applications, the course helps reveal subtleties, and furthers a deeper understanding of concepts in practice.

This course is well structured and to the point. Course helps to understand practical aspects on how a ML product can be achieved using structured approach

This course really teaches me the skills in developing machine learning models for real world problems. I would highly recommend this to ML practitioners.

World-class tips and tricks for structuring Machine Learning projects that you probably won't find elsewhere. Also, the quiz structure is very convenient.

This helped me to get more insight into how to resolve the errors, what approaches are better, and how transfer learning and multitasking can be utilized.

I want to thank 糖心vlog官网观看 and Andrew Ng for providing this opportunity to learn from a different part of the globe. He is the best teacher I have ever had.

Material very well designed for people with a full time job and kids! Thank you Andrew Ng and team for making these technics so easy to learn on coursera!

Really good and highly knowledgeable trainer! Gives you in-depth knowledge about how to maximize the utilization of data sets in deep learning algorithms.

This was a very helpful course, especially on how real world machine learning projects are run, teaching stuff that is usually not taught in universities

Awesome! Really recommendable if you want to gain insight of how to structure machine learning projects. Information really difficult to finde elsewhere.

This course actually gives you some tips that we can gain only after working years on Machine Learning Projects. Highly Recommended Course for beginners.

Easy to understand and follow. Practice questions could be improved by giving some more explanations in the results other than "Correct" and "Incorrect".

Great course. It taught me how not to waste important time in randomly trying out different configurations rather than proceeding in a systematic manner.

nice, as always... But I was a little bit disappointed that there were no any programming exercises :). That is what makes Andrew's courses so exiting :)

Wonderful strategies beautifully presented in intuitive manner with Professor's real practical experience. Pleasure to learn these from Professor Andrew!

I liked both the quizzes as they helped me get an insight into some of the decisions a machine learning developer has to make while developing a solution

The course is excellent for Deep Learning learners and practitioners. It covers most of the scenarios that could show up in an ML project. Great course.

The professor is great. I also think that I have learned unusual things that are not exactly the same as the theoretical things in the previous courses.

Full stars because the course content met my expectations on learning how to structure an ml projects. The guidelines are relevant and highly advisable.

Almighty Andrew NG - I promise to educate underprivileged to get enlightened from this series of course. Really excited for Course 4 and 4 (CNN and RNN)

great class. I am a big fan of the full depplaerning.ai package. I am at the 3rd module and I learnt so much. The material is clear and well structured.

As expected, Andrew Ng has delivered an outstanding course where he shares his valuable veteran-like wisdom with us newbies. Thank you so much Prof. Ng!

Great course, but tweak some of the writing as I've noticed some grammatical errors in the feedback. Also, there is no "Flight Simulator" to be found :)

Really helpful practical advice on dealing with improving ML algorithms.. I am able to apply these strategies in my current work already! Thanks Team :)