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Launching into Machine Learning, Google 云端平台

4.5
1,301 個評分
137 個審閱

課程信息

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...

熱門審閱

創建者 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 :)

創建者 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.

篩選依據:

137 個審閱

創建者 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

創建者 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!

創建者 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.

創建者 Marc Jäger

Feb 07, 2019

Good but a prerequisite statement of knowing SQL would be helpful

創建者 shabeer mohammad

Feb 05, 2019

fanstatic course

創建者 BHARATHI ATHINARAYANAN

Feb 05, 2019

5 starz - very good info and pointful.

創建者 Prasenjit Poddar

Feb 01, 2019

OK!!

創建者 Armen D. Forget

Jan 29, 2019

This course provides a great synopsis of different machine learning models and their nuances. If you haven't seen machine learning before, you will probably need to go slowly and look up some of the concepts on your own. There are a lot of ML terms thrown around without any explanation, so be ready for that if you're new to this. The best part of the course was the Google TensorFlow Playground, where you can experiment with tuning neural networks to classify different types of datasets. The speakers in this course are all very good and the material is well organized. The reason for giving 4 stars is that the quizzes and lab exercises were much too easy, so anybody can get 100% for this course, which makes the grade (and passing score) meaningless.

創建者 Sean Summers

Jan 28, 2019

The labs really just lay everything out for you, and don't challenge you to learn anything for yourself.

創建者 Gregory R. Gray Jr.

Jan 24, 2019

Thumbs Up!