I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
por Bradley W•
Great course. The pragmatic insights were invaluable. I think addressing problems such as missing input data and data preparation would help. I also think a programming assignment that explores these ideas would help. You could take the sign language number exercise from week 2 and explore some of the ideas this week.
I can confidently say that this course has content which is only unique to this course. To my knowledge no other course has topics like Avoidable bias, Bayes optimal error, Error analysis and emphasis on train, dev & test set data distribution mismatch. This course is definitely a must for any Deep learning practitioner.
por Deepak V•
Looking at the title of this course I predicted that it will be regarding to teach me how to organise the source code files of ML project and more specifically how to build a ML project and components of deep learning project but it was all about DEBUGGING ml project so for me this was in off beat course from its title.
por Tony H•
Extremely useful, practical techniques for deep learning projects. I feel much more able to construct my own neural networks, diagnose and solve issues with them after following this course. Professor Ng is a gifted teacher. His style is careful, methodical and never less than very well prepared and deeply enlightening.
por Ayan G•
Its really nice to get the valuable insight of managing an AI project, this course not only thought us about deep learning, but also how to manage them efficient and take smart decision. I like the concept of Transfer learning as it can same a lot of efforts and time to build an system for complex. Thank you very much.
por Kwan T•
I am very lucky to be able to learn from Andrew the DOs and DON'Ts of how to develop a successful practical deep neural network for real applications. It would take a machine learning developer many years of working experience to acquire any one of the topics that Andrew articulated in this course. Thank you so much!!!
por Konstantinos K•
The course is great. It tackles a lot of problems regarding strategic decision making and at the same time important concepts such as human-level error, avoidable bias, transfer learning, end-to-end deep learning and others are being taught. The questions/exercises really test the core concepts that are being taught!
por Mark Z•
I've decided to take this course after seeing its feedback from other people and the comment which got me was the following: "This course is could be summarized as a machine learning master giving useful advice". I think it perfectly describes the course's content. This course is definitely worth investing time into.
por Dunitt M•
Excelente curso, muy recomendado para quienes tienen una idea de Deep Learning pero con frecuencia se encuentran en situación que no saben cómo afrontar o cuál camino intentar primero. El conjunto de habilidades impartidas aquí no te harán un mejor programador, pero te ahorraran muchas horas de esfuerzo innecesario.
por Gaurav K•
Amazing tips shared for structuring machine learning projects, which were ignored in most of the other ML books. Building a model is one thing, but tuning it to make it work better in the real world is more important which this course focuses.
Thanks Prof. Andrew Ng for the consistent support of spreading knowledge!
por Muhammad A•
Although, this course of specialization was simple with no assignment still the case studies were quite informative. I would suggest to include a case study related to google machine learning for navigation and voice recognition. We youth can easily relate to this case study. Overall this course was a full package.
por Yuezhe L•
This is a very helpful class. I have been working on machine learning projects for years. This course provides methods to systematically trouble shoot problems in a machine learning project. Despite all the samples are using neural networks, the methodology can be applied to improve other machine learning projects.
por Danial A•
Andrew NG has a peculiar style when it comes to teaching data science. I have never seen someone explaining the terms this effectively. The material in this course is a direct revelation of his years of experience and entails the unique feature of being the lessons learned from the experience. Really great course.
por Bernard O•
Excellent course on managing through the thick of bias/variance tradeoffs. Been doing a lot just based on things I have picked up through experience, but this course puts a the quantitative rigor and discipline behind the art. The sections on transfer and end to end deep learning were eye opening sections for me.
por Gema P•
This course is strategically very important so congrats on making it
I would add a programming assignment including transfer learning or multi-task learning implementation due to the multiple cases of use that are today in the industry.
Thanks again for making this Wonderfull material available to the community ^^
por BAZIL F•
Very useful course for understanding nuances of AI and different useful techniques in strategizing the approaches. Extremely useful in architecting, designing and delivery of the complex solutions involving AI (even as a sub-component). Prof. Andrew Ng is always a pleasure and honor to learn from. Thank You Sir!
por Harvey Q•
Really inspiring course, and UNIQUE. No other class, I think, provide these suggestions on the big question "what's next?" in ML projects. The videos are a bit weirdly sequenced. But they provide very systematic ways of project starting, data splitting, model evaluating, problem finding and tuning. Great course!
por Pedro B M•
This a course on key practices one should have when developing a ML project. Once again Andrew Ng is very pedagogical, teaching sometimes complex concepts in a easy to understand and practical way. I particularly liked the case studies, where the learned concepts had to be put into practice for decision taking.
por Niyas M•
What a great session! Full of practical advice and strategies to help you iterate fast. Prof. Andrew draws on his years of hands-on experience at top companies to put together the best practices for structuring your machine learning projects. This has been the most valuable course in this series for me so far!
por Nikhil K•
super helpful! something that's really valuable in-terms of optimally organizing the thought process i should use to approach an issue i want to solve with Deep Learning.
also, the Quizzes in this course (in-particular) were very important for me because it helped ingrain the tenets of this course in my mind.
por Zebin C•
In the course, I learned how to divide train set, dev set, and test set, and how to solve the problem of different distributions of train set and test set. Impressive is the transfer learning. Transfer learning is a very effective way to help me provide a completely different approach to solving new problems.
por Swapnil T•
What can be better than this, a highly qualified and passionate individual explaining what he has observed and learnt from the mistakes of other professionals , those who themselves are one of the smartest brains so that we don't make mistakes or waste our time realizing that we were hitting something wrong.
por Jiri L•
This is a really good course and material applicable to deep learning and, to an extent, also to machine learning. The course gives you a very good diagnostic and problem solving methodology for various issues with algorithm performance. So far I'd consider this to be the best course in the specialisation,
por Vishnu V•
Excellent course to understand the ML project pipeline and then to analyse the various problems that could pop up during an ML project. The tips and tricks that we obtain from this course to address those problems are really valuable and unmatched. It is truly one of its kind course from the master itself!
por Abhilash V•
This is a good course to get a feel of real projects and insights on how to go about executing them.I got some good tips to approach a deeplearning project.I don't know if this is too short of a course but I would trust Andrew Ng if he thinks this is fine to get a sense of deep learning projects.