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Avis et commentaires pour d'étudiants pour Machine Learning in the Enterprise par Google Cloud

4.6
étoiles
1,401 évaluations

À propos du cours

This course encompasses a real-world practical approach to the ML Workflow: a case study approach that presents an ML team faced with several ML business requirements and use cases. This team must understand the tools required for data management and governance and consider the best approach for data preprocessing: from providing an overview of Dataflow and Dataprep to using BigQuery for preprocessing tasks. The team is presented with three options to build machine learning models for two specific use cases. This course explains why the team would use AutoML, BigQuery ML, or custom training to achieve their objectives. A deeper dive into custom training is presented in this course. We describe custom training requirements from training code structure, storage, and loading large datasets to exporting a trained model. You will build a custom training machine learning model, which allows you to build a container image with little knowledge of Docker. The case study team examines hyperparameter tuning using Vertex Vizier and how it can be used to improve model performance. To understand more about model improvement, we dive into a bit of theory: we discuss regularization, dealing with sparsity, and many other essential concepts and principles. We end with an overview of prediction and model monitoring and how Vertex AI can be used to manage ML models....

Meilleurs avis

MB

30 déc. 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.

MK

6 juin 2020

This course is so really good to learn about the general knowledge and skill of Data Science like optimization batch or regularization and so on with Google Cloud Platform.

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26 - 50 sur 119 Avis pour Machine Learning in the Enterprise

par Gennady L

23 févr. 2019

Thank you for this course and specialization, it really good. There were some small bumps in the labs, but those were minor. Appreciate the work you've done to put out this course and the specialization!

par Mark B

30 déc. 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.

par Mark K

7 juin 2020

This course is so really good to learn about the general knowledge and skill of Data Science like optimization batch or regularization and so on with Google Cloud Platform.

par miguel m

13 mai 2020

Iam very satisface, the contents, methodology, tools were exceletents, and the translations were very good im not was problems with the platform is very easy and intuitive

par Iman R

14 juin 2020

In this course you gain more deep understanding to how improve your machine learning model. This course also introduce you on to how build a custom model using keras.

par Sinan G

12 sept. 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.

par Trond M A

11 oct. 2018

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

par C K

14 févr. 2019

Very interesting course! Specifically the last modules with custom estimators and the ability to create estimators straight from Keras!

par Pawan K T

12 déc. 2018

Great inside about the core topics with real word problems which make learning easier and practical. Thanks a lot for this great course

par Marco H

27 déc. 2020

some labs with bucket gave errors since it needs to specify some stuff from the bucket like region but no instruction about it

par QUINTERO G C A

29 nov. 2020

Un excelente curso para entender varios conceptos que permiten optimizar los modelos de aprendizaje profundo.

par Roman S

25 juil. 2018

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

par KAMASANI V R

23 juin 2020

This course tells about the different aspect of usage of art and science in machine learning.

par Meynardo J

29 juil. 2018

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

par morris c

9 déc. 2018

Thank you for such wonderful classes, it helps me a lot on tensorflow learning.

par Raja R G

7 déc. 2018

Very very informative for learning....had good time to gothrough this course...

par jitendra s r

27 mai 2020

Very well designed and defined..with great hands-on exercise. Thank you...

par Akshay B

5 oct. 2018

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

par Zezhou J

24 nov. 2018

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

par Giovanni S

2 juin 2018

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

par Fahmi J

12 avr. 2020

Wish i could work at google, any google company. someday...

par Sümeyra D

9 sept. 2019

Advanced and detailed course for accurate tensorflow models

par Antony J

19 nov. 2020

Excellent conclusion to a really enjoyable specialization.

par Thanh N N

24 juil. 2019

Great course for essential techniques in ML model design.

par Richard K

26 janv. 2019

This was the most useful course in the specialisation.