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    Back to Structuring Machine Learning Projects

    Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI

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    4.8
    stars
    50,043 ratings

    About the Course

    In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice
    decision-making as a machine learning project leader. By the end, you will be able to diagnose errors in a machine learning system; prioritize
    strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing
    human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This is also a standalone course for
    learners who have basic machine learning knowledge. This course draws on Andrew Ng’s experience building and shipping m...
    ...

    Top reviews

    WG

    Mar 19, 2019

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    Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.

    JB

    Jul 2, 2020

    Filled StarFilled StarFilled StarFilled StarFilled Star

    While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).

    Filter by:

    5076 - 5100 of 5,736 Reviews for Structuring Machine Learning Projects

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    By Francisco J M O

    •

    Dec 29, 2020

    Muy interesante, se aprende mucho en situaciones aplicables a la vida real

    Filled StarFilled StarFilled StarFilled StarStar

    By Jean-Michel C

    •

    Dec 30, 2018

    Very useful tricks / method to approach typical machine learning projects.

    Filled StarFilled StarFilled StarFilled StarStar

    By Mandlenkosi N

    •

    Dec 10, 2018

    I loved the use cases it gave a practical uses of what I've been learning.

    Filled StarFilled StarFilled StarFilled StarStar

    By subho c

    •

    Sep 30, 2018

    Some hands on exercise to complement the theory would have been excellent.

    Filled StarFilled StarFilled StarFilled StarStar

    By Yisheng Y

    •

    Jan 25, 2018

    I am pretty surprise that this course does not have programming assginment

    Filled StarFilled StarFilled StarFilled StarStar

    By dh

    •

    Oct 17, 2017

    provide student with some code tests like previous courses may be better .

    Filled StarFilled StarFilled StarFilled StarStar

    By Ruifang W

    •

    Aug 23, 2017

    quite detailed and easily accepted way of understanding all the materials.

    Filled StarFilled StarFilled StarFilled StarStar

    By Sergey I

    •

    Aug 22, 2018

    Good and useful material. However the homework is not challenging enough.

    Filled StarFilled StarFilled StarFilled StarStar

    By Nimrod P

    •

    Feb 6, 2018

    Some video issues, give this course a slightly lower production values...

    Filled StarFilled StarFilled StarFilled StarStar

    By Abhishek R

    •

    Nov 28, 2017

    Very useful for people working in ML. Short on content but one of a kind.

    Filled StarFilled StarFilled StarFilled StarStar

    By Matteo P

    •

    Sep 23, 2017

    Lot of blanks and glitches in the videos. Should be better reviewed by QA

    Filled StarFilled StarFilled StarFilled StarStar

    By Leon M W

    •

    Dec 26, 2020

    Nice but not as informative and well crafted as the previous two courses

    Filled StarFilled StarFilled StarFilled StarStar

    By Nabham G

    •

    May 25, 2020

    Got to learn some insights and guidelines for machine learning projects.

    Filled StarFilled StarFilled StarFilled StarStar

    By Madhumathi R

    •

    May 29, 2019

    It could have been the last course in the specialization instead of 3rd.

    Filled StarFilled StarFilled StarFilled StarStar

    By Sébastien D

    •

    Nov 17, 2017

    Some effort should be put in editing the videos. Else it is pretty good!

    Filled StarFilled StarFilled StarFilled StarStar

    By Paulo A V

    •

    Nov 16, 2017

    Innovative contents full with good advises and suggestions in the matter

    Filled StarFilled StarFilled StarFilled StarStar

    By Simon L

    •

    Nov 1, 2017

    Really good for intuition. Only wish there was some code sprinkled in :)

    Filled StarFilled StarFilled StarFilled StarStar

    By Joffre L V

    •

    Oct 25, 2017

    Very good course, maybe a little more project work would be better, ....

    Filled StarFilled StarFilled StarFilled StarStar

    By Prasad D

    •

    Jul 3, 2020

    Great videos. Just too long. Maybe sometimes I feel it to be repetative

    Filled StarFilled StarFilled StarFilled StarStar

    By Lucian R

    •

    May 21, 2020

    It would be more useful to have this course last in the specialization.

    Filled StarFilled StarFilled StarFilled StarStar

    By Abhinand S

    •

    Mar 28, 2019

    The answers to the questions in the Quiz are ambiguous and subjective.

    Filled StarFilled StarFilled StarFilled StarStar

    By Wynand

    •

    Feb 15, 2018

    Good, not dissimilar information from what was taught in the ML course

    Filled StarFilled StarFilled StarFilled StarStar

    By R. P R

    •

    Nov 30, 2017

    Will return to this lecture again in the future as reference material.

    Filled StarFilled StarFilled StarFilled StarStar

    By Isaac K

    •

    Nov 27, 2017

    Has some useful information, but is lacking any programming exercises.

    Filled StarFilled StarFilled StarFilled StarStar

    By george v

    •

    Nov 2, 2017

    great-practical advices. nice simulation of the problems in the quizes

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