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Voltar para Serverless Machine Learning with Tensorflow on Google Cloud Platform

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

4.4
1,176 classificações
167 avaliações

Informações sobre o 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....

Melhores avaliações

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!

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163 avaliações

por Scott Molitor

Dec 14, 2018

Detailed and incredibly useful for DE's

por rodrigo orellana

Dec 10, 2018

if you read this before taking this course, believe me you will need PATIENCE!

por Miguel Antonio Cortes Nannig

Dec 07, 2018

too specific

por Anjan Singha

Dec 04, 2018

It was really very informative session. After going through this session, I feel there are lots of things to learn and I will. Thanks Lak for the wonderful course material.

por Claudio Ikeda

Dec 03, 2018

a powerful tool in a practical and simple way to empower data engineers with this tool possibilities

por Daniele Scarano

Nov 27, 2018

Lot of information are contained in this short course. It's a perfect approach to ML even if it's a bit confusing if you don't have previous experience. Great course learned lot of things.

por Atanu Ghosh

Nov 26, 2018

Quite knowledgeable. It touches all the aspects of Model building along with the Google Cloud implementation . Learned a lot out of it. Thanks a lot to Lak and team for the course

por Alvin Pradeep E

Nov 19, 2018

overall good. the lab should have more cpu. for small mbs data dataflow,cloud ml took 15 -20 min .ALso we can combine jypter labs to single instead of repeating the process for multiple small labs.It takes lot of tine to launch data lab

por Jose Fernando Caballero Pastor

Nov 19, 2018

El curso es correcto, demasiado denso, para acabar solo arañando la superficie de lo que es Machine Learning. Los laboratorios ha sido pésimo.

por Perry

Nov 18, 2018

Great instructor and everything works well. I just wish, as I did for the rest of the course, there was more hands on coding rather than just a review and clicking next. Better for learning purposes. But, with a Python foundation you should be able to understand what's going on by cloning github.