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Art and Science of Machine Learning, Google Cloud

378 calificaciones
37 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 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.

por TA

Oct 11, 2018

This is an extensive course where you learn some handy techniques like embedding which I believe will be very handy for many applications

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38 revisiones

por Pawan Kumar Tripathi

Dec 12, 2018

Great inside about the core topics with real word problems which make learning easier and practical. Thanks a lot for this great course

por Joel Mitchell

Dec 12, 2018

good lessons and in depth coverage of a range of issues

por Morris Chen

Dec 09, 2018

Thank you for such wonderful classes, it helps me a lot on tensorflow learning.

por Raja Ranjith Garikapati

Dec 07, 2018

Very very informative for learning....had good time to gothrough this course...

por Laimonas Simutis

Dec 02, 2018

Too shallow to truly be useful. I think if anything it gives you an idea of what's possible and roughly the areas you should explore and learn about but you won't learn too much following this through.

por Jordan King Rodriguez Mallqui

Nov 26, 2018


por Zezhou Jing

Nov 24, 2018

Loved the breadth and depth of machine learning topics in this course.

por Bielushkin Maksym

Nov 23, 2018


por Somaiya Juhil Girishbhai

Nov 14, 2018


por Siddharth Asthana

Nov 10, 2018

I felt that hand-on or explanation was not sufficient. Coverage is good.