Chevron Left
Voltar para Machine Learning in the Enterprise

Comentários e feedback de alunos de Machine Learning in the Enterprise da instituição Google Cloud

4.6
estrelas
1,421 classificações

Sobre o curso

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....

Melhores avaliações

MB

30 de dez de 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 de jun de 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.

Filtrar por:

1 — 25 de 122 Avaliações para o Machine Learning in the Enterprise

por Eric S

1 de fev de 2019

por Dmitry B

6 de mai de 2019

por Luciano M

13 de jan de 2019

por john f d

18 de jul de 2018

por Soham M

12 de out de 2018

por Jun W

29 de mai de 2018

por Cooper C

22 de jan de 2020

por Laimonas S

2 de dez de 2018

por Dimitry I

14 de nov de 2019

por Yakup K Y

20 de mai de 2019

por Badhan S

8 de mai de 2020

por Patrick M A

2 de set de 2018

por James W

27 de set de 2019

por Harold M

27 de set de 2018

por Ertu S

4 de set de 2018

por Juan P D P

20 de out de 2018

por zios s

29 de nov de 2019

por Linh D

8 de abr de 2020

por Mario R

13 de jan de 2019

por Jafed E G

6 de jul de 2019

por Abdur R M

2 de out de 2018

por Nicolas S

19 de abr de 2020

por Ayush T

6 de set de 2019

por Mr. J

27 de ago de 2019

por PLN R

31 de jan de 2019