Chevron Left
Вернуться к Serverless Machine Learning with Tensorflow on Google Cloud Platform

Serverless Machine Learning with Tensorflow on Google Cloud Platform, Google Cloud

4.4
Оценки: 1,415
Рецензии: 191

Об этом курсе

This one-week accelerated on-demand course provides participants a a hands-on introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn machine learning (ML) and TensorFlow concepts, and develop hands-on skills in developing, evaluating, and productionizing ML models. OBJECTIVES This course teaches participants the following skills: ● Identify use cases for machine learning ● Build an ML model using TensorFlow ● Build scalable, deployable ML models using Cloud ML ● Know the importance of preprocessing and combining features ● Incorporate advanced ML concepts into their models ● Productionize trained ML models PREREQUISITES To get the most of out of this course, participants should have: ● Completed Google Cloud Fundamentals- Big Data and Machine Learning course OR have equivalent experience ● Basic proficiency with common query language such as SQL ● Experience with data modeling, extract, transform, load activities ● Developing applications using a common programming language such Python ● Familiarity with Machine Learning and/or statistics Google Account Notes: • Google services are currently unavailable in China....

Лучшие рецензии

автор: NP

Jan 09, 2018

Thank you very much for making this course available on Coursera, I cannot agree more the knowledge of Mr Venkat. This is a great way to help people to get started with Google Machine Learning.

автор: MG

Sep 21, 2017

Great course! I've learnt a lot. The concepts where super clear. The coding part was a little difficult, I didn't understand all af it, but it's good to have a complete example to use.

Фильтр по:

Рецензии: 185

автор: Mariano Patricio Gonzalez Nuñez

Feb 14, 2019

Problems with the lab 7

автор: Arvind Kumar

Feb 14, 2019

only Lab7 has troubled me due to incorrect code for the installation. It should be:pip install --upgrade pip

conda update -y -n base -c defaults conda

source activate py2env

pip uninstall -y google-cloud-dataflow

conda install pytz==2018.4

pip install google-cloud-dataflow

pip install apache-beam==2.5.0

автор: Suneel Sharma

Feb 08, 2019

good course, nice practical examples

автор: William Mitchell

Feb 08, 2019

Good course on Serverless Machine Learning with Tensorflow on Google Cloud Platform

автор: Cristhian Torres

Feb 07, 2019

LAB 7 NOT WORKING PROPERLY

автор: Keith Ansell

Feb 06, 2019

Very good course, plan to take the 10 day course.

автор: ELINGUI Pascal Uriel

Feb 04, 2019

Thanks Google, you are doing great work and producing great quality contents

автор: Sanjana Chalavadi

Feb 03, 2019

The course seemed little superficial to me

автор: Ciprian Dirnu

Feb 02, 2019

This course/specialization is seriously insufficient in order to pass the GCP certification. A lot of knowledge from the Architecture course would still be necessary. The disclaimer about work experience does not cover that.

автор: RAGHAVENDER SRIDHAR

Jan 28, 2019

good