Chevron Left
Volver a Art and Science of Machine Learning

Art and Science of Machine Learning, Google Cloud

4.6
643 calificaciones
60 revisiones

Acerca de este Curso

Welcome to the art and science of machine learning. In this data science course you will learn the essential skills of ML intuition, good judgment and experimentation to finely tune and optimize your ML models for the best performance. In this course you will learn the many knobs and levers involved in training a model. You will first manually adjust them to see their effects on model performance. Once familiar with the knobs and levers, otherwise known as hyperparameters, you will learn how to tune them in an automatic way using Cloud Machine Learning Engine on Google Cloud Platform....

Principales revisiones

por MB

Dec 31, 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.

por SG

Sep 12, 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.

Filtrar por:

59 revisiones

por Fathima jabbar

May 11, 2019

good

por Raghuram Nandepu

May 09, 2019

An advanced course with good techniques.

por Dmitry Belyaev

May 06, 2019

The quality of the lesson material is great but the quantity is nowhere sufficient to get the hands-on experience

por Rahul Kumar

May 05, 2019

Some tough concepts !!!

por 영신 박

Apr 29, 2019

Awesome!

por Muhammad Aun

Apr 21, 2019

Great Course, i have learn alot

por Arman Ahmed

Apr 11, 2019

Pros: Tensorflow is an excellent framework for deep learning

Cons :

1- The way this material is designed is 10 X SHIT

2- Either teach properly or don't teach at all.

por Harm te Molder

Mar 16, 2019

Wow, really enjoyed parts of this one. Thanks

por Swaraj Patidar

Mar 10, 2019

Nice tutorial

por Gennady Lungu

Feb 23, 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!