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Launching into Machine Learning, Google Cloud

1,536 notes
157 avis

À propos de ce cours

***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. This involves creating datasets that permit generalization; we talk about methods of doing so in a repeatable way that supports experimentation. Course Objectives: Identify why deep learning is currently popular Optimize and evaluate models using loss functions and performance metrics Mitigate common problems that arise in machine learning Create repeatable and scalable training, evaluation, and test datasets SPECIALIZATION COMPLETION CHALLENGE As if learning new skills wasn’t enough of an incentive, we're excited to announce a special completion challenge for 'Machine Learning with TensorFlow on Google Cloud Platform’ specialization. Here’s how it works: Our completion challenge runs through 11:59pm PT May 5, 2019. Complete any course in this Specialization including this one, anytime in this period and we'll send you 30 Qwiklabs credits for each course completed (upto $150 value given there are 5 courses in the specialization). You can use these credits to take additional labs and earn badges, which you can then add to your resume and social profiles. Your challenge awaits – begin learning on Coursera today!...

Meilleurs avis

par PT

Dec 02, 2018

This is an awesome module. It will open up so much inside story of ML process which is core of the topic with such a simplicity. It greatly increases my interest into this topic and this course :)

par PA

Aug 04, 2018

Good course, covering all the basics about machine learning and most importantly, everything that surrounds an ml project and you need to take into account to make your ml project successful.

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162 avis

par ???

Apr 19, 2019


par Tae Ho Kang

Apr 18, 2019

good to know what is ML, thank you

par dhokim

Apr 18, 2019


par Filbert Kwon

Apr 18, 2019


par 김영기

Apr 17, 2019

thank you!

par 황경하

Apr 17, 2019

thank you


Apr 16, 2019

Was good. Thank you!

par 이동규

Apr 14, 2019


par Dong Hyun Seo

Apr 14, 2019

I can start to handle some part of ML after listening this course.

Thank you.

par Stephen Huang

Apr 14, 2019

good class