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Art and Science of Machine Learning に戻る

Google Cloud による Art and Science of Machine Learning の受講者のレビューおよびフィードバック

4.6
845件の評価
74件のレビュー

コースについて

Welcome to the art and science of machine learning. In this data science course you will learn the essential skills of ML intuition, good judgment and experimentation to finely tune and optimize your ML models for the best performance. In this course you will learn the many knobs and levers involved in training a model. You will first manually adjust them to see their effects on model performance. Once familiar with the knobs and levers, otherwise known as hyperparameters, you will learn how to tune them in an automatic way using Cloud Machine Learning Engine on Google Cloud Platform....

人気のレビュー

MB

Dec 31, 2018

thanks for the great work. There is so much to learn and I appreciate the effort you made to break things down and providing lab while making the hard decisions on what to commit.

JW

May 30, 2018

This final course is also very good. Embedding is my favorite part and Lak is my favorite instructor.\n\nThanks Googlers! Looking forward to the next five courses.

フィルター:

Art and Science of Machine Learning: 26 - 50 / 73 レビュー

by Sinan G

Sep 12, 2018

A lot of core neural network topics were presented in a productive way and I particularly liked the LAB showing how to write custom estimators.

by Harold L M M

Sep 28, 2018

This is one of the best courses in this specilization, as it goes deeper in the internals of ML and Neural Networks. Also, it presents two important features such as Embedding (creating sparse tensors from features) and Custom Estimators, which is the first step to get into advanced topics such as implementing new estimators from Research Papers.

I've really leveraged from this course a lot.

Thank you!

by Gustavo M

Aug 17, 2018

Thanks

by Patrick M A

Sep 02, 2018

This course goes deeper into how to improve your Tensorflow ML models' performance without going deep into the models themselves. A good intro to learn how to systematically tune hyperparameters like the learning rate or batch size, and also how to start using regularization techniques and embeddings. Finally the course also opens the door to custom estimators, keeping you interested for the next courses.

by Ertu S

Sep 04, 2018

The only concern is that There are lots mention of Batch Normalization however nor instructor neither lab exercises point out how to do proper Batch Normalization using Tensorflow. It seem like they suggest manual scaling. Also best to include a section how to use TensorBoard to fine tune training properly. Not clear how to monitor and correct training parameters thru TensorBoard.

by Akshay B

Oct 05, 2018

Best course in this specialization. Lak is such a wonderful instructor.

by Prasant S

Oct 07, 2018

Thank you Google and Coursera

by Juan P D P

Oct 20, 2018

ML is a very rich topic with many paths to achieve a goal, that is important to differentiate because there is so much information people can get confused, this course focus helps to understand the topic. Labs range from basic to difficult and requires your full attention, there is still room to learn from other theorical sources.

by Trond M A

Oct 11, 2018

This is an extensive course where you learn some handy techniques like embedding which I believe will be very handy for many applications

by Somaiya J G

Nov 14, 2018

finest

by Sandeep K

Aug 04, 2018

good handson course!

by Ezequiel A

Sep 17, 2018

Amazing course!

by Muhammad A R

Oct 02, 2018

The best course of the specialization. Drills right into the heart of ML in terms of how to improve your models and also shines some light on how to create custom NN models which can be used with all of the prebuild functions of TF.

by Atichat P

Jun 04, 2018

Good

by Giovanni S

Jun 02, 2018

Also the last course excels in clarity! Great job! Thanks a lot.

by Serhan A

Jun 05, 2018

Amazing!

by Roman S

Jul 25, 2018

This was a quite dense specialization. The instructors were very clear and the assignments helpful.

by Meynardo J

Jul 29, 2018

Good material on the art and science of ML - specially the custom estimator stuff.

by Muhammad A

Apr 21, 2019

Great Course, i have learn alot

by Raghuram N

May 09, 2019

An advanced course with good techniques.

by Fathima j

May 11, 2019

good

by 영신 박

Apr 29, 2019

Awesome!

by Jafed E

Jul 06, 2019

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

by Nhan T N

Jul 25, 2019

Great course for essential techniques in ML model design.

by Naman M

Aug 19, 2019

Awesome