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学生对 Google 云端平台 提供的 Art and Science of Machine Learning 的评价和反馈

917 个评分
78 个审阅


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. COMPLETION CHALLENGE Complete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details....



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.


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.


26 - Art and Science of Machine Learning 的 50 个评论(共 77 个)

创建者 Meynardo J

Jul 29, 2018

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

创建者 Sandeep K

Aug 04, 2018

good handson course!

创建者 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.

创建者 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.

创建者 Chan H Y

Sep 26, 2018

Nice course

创建者 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.

创建者 Gustavo M

Aug 17, 2018


创建者 Somaiya J G

Nov 14, 2018


创建者 Bielushkin M

Nov 23, 2018


创建者 Jordan K R M

Nov 26, 2018


创建者 Zezhou J

Nov 24, 2018

Loved the breadth and depth of machine learning topics in this course.

创建者 Prasant S

Oct 07, 2018

Thank you Google and Coursera

创建者 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!

创建者 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.

创建者 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

创建者 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.

创建者 Akshay B

Oct 05, 2018

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

创建者 Ezequiel A

Sep 17, 2018

Amazing course!

创建者 Fathima j

May 11, 2019


创建者 Raghuram N

May 09, 2019

An advanced course with good techniques.

创建者 영신 박

Apr 29, 2019


创建者 Muhammad A

Apr 21, 2019

Great Course, i have learn alot

创建者 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

创建者 Nhan T N

Jul 25, 2019

Great course for essential techniques in ML model design.

创建者 Naman M

Aug 19, 2019