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Launching into Machine Learning, Google Cloud

1,400 calificaciones
141 revisiones

Acerca de este Curso

***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!...

Principales revisiones

por 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 :)

por 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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142 revisiones

por Sujeethan Vigneswaran

Mar 20, 2019

Decent, Labs took a hit on quality. :S

por Ragy Ibrahim

Mar 20, 2019

Maths and ML stuff are explained very poorly... very rushed and people speaking are clearly reading from a script which makes it difficult to understand and follow on =

por Arif Nawaz

Mar 07, 2019

Thank you for such great knowledge sharing. I have really enjoyed the course and have learned a lot from it. The way the speakers explain each and every tiny detail is exceptional. This course make me a step closer to my goals and will help me in my career building as a Machine Learning Engineer.

por Hassan Hai

Mar 02, 2019

Everything worked great except the labs would not work. Had login issues.

por Rakesh Talanki

Feb 25, 2019

Will be good to dumb it down further. The last part is good, the first two parts can have better examples and find easier ways to explain the theoretical concepts for folks who have not heard these before.

por Praveen Kumar M

Feb 17, 2019

I'm not able to access the video lectures even though I purchased and completed this course 6 months back

por Soroosh Rezazadeh

Feb 15, 2019

The instructors were talking most of the time in a monotonous way without showing proper slides or elaborating the materials. Overall it was a very poor introduction of the ML. The two labs were good, however it was surprising to me that they did not commented out the notebook codes!

por Kaustubh M Harapanahalli

Feb 13, 2019

This course gave me a good overview of how to work with GCP for ML and also helped in covering a bit of knowledge gaps that I had when I learnt things on my own.

por Marc Jäger

Feb 07, 2019

Good but a prerequisite statement of knowing SQL would be helpful

por shabeer mohammad

Feb 05, 2019

fanstatic course