Chevron Left
Volver a Serverless Machine Learning with Tensorflow on Google Cloud Platform

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

4.4
(1,735 calificaciones)

Acerca de este Curso

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....

Principales revisiones

por 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.

por HM

Sep 08, 2018

A very good course on TensorFlow, ML and Google MLE on GCP.\n\nThe Labs are self contained and the problems proposed are very challenging. I learned a lot on this course.\n\nThank you!

Filtrar por:

217 revisiones

por Navi Thatipally

May 18, 2019

Course is very good and detailed. It is really helpful.

por Harsha Achyuthuni

May 18, 2019

A very detailed course for introduction to Tensor flow for Data engineers.

por Prateek Agarwal

May 16, 2019

Just a introduction of deep learning tensorflow APIs using Google cloud. Could have explained in more detail about the functionality of Estimators and how Cloud ML Engine can be used. Outside this course there are not many documentation provided on these topics. It is a difficult task for beginners to use GCP for running high level APIs for machine learning.

por Jafed Encinas

May 14, 2019

Able to concentrate and stay focused for periods of several hours, even when tasks are relatively mundane, and doesn't make mistakes. He has a high boredom threshold. Always assured and confident in demeanour and presentation of ideas without being aggressively over-confident. No absences without valid reason in 6 months. Reaches a decision rapidly after taking account of all likely outcomes and estimating the route most likely to bring success. The decisions almost always turn out to be good ones.

This Course always completes any assignment on time and to a high standard. This Course has outstanding artistic or craft skills, bringing creativity and originality to the task. Aiming for a top job in the organization. He sets very high standards, aware that this will bring attention and promotion. This Course pays great attention to detail. He always presented work properly checked and completely free of error.

por NIKHIL PRADIP MANGIRE

May 13, 2019

Good Course For Beginners on GCP.

por Alejandro J. Alvarez-Socorro

May 07, 2019

A very complete course.

por pradeep thirukovela

May 03, 2019

Excellent content .Great instructiors . BUt the lab sessions were very slow to run . Need more time for these may be 2 hrs .

por Alvaro Ribeiro Fazio

May 03, 2019

I understand the complexity, this is why I rate 3 stars

por YANGYIRU

May 02, 2019

lab 7 is rubish

por Muhammad Diaphan Nizam Arusada

May 01, 2019

the lab is outdated but features engineering is suitable for Data Engineer to implement on works