Chevron Left
Retour à Launching into Machine Learning

Launching into Machine Learning, Google Cloud

4.5
1,293 notes
136 avis

À propos de ce cours

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...

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.

Filtrer par :

136 avis

par 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!

par 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.

par Marc Jäger

Feb 07, 2019

Good but a prerequisite statement of knowing SQL would be helpful

par shabeer mohammad

Feb 05, 2019

fanstatic course

par BHARATHI ATHINARAYANAN

Feb 05, 2019

5 starz - very good info and pointful.

par Prasenjit Poddar

Feb 01, 2019

OK!!

par 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.

par Sean Summers

Jan 28, 2019

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

par Gregory R. Gray Jr.

Jan 24, 2019

Thumbs Up!

par Vinit Khandelwal

Jan 22, 2019

Very Basic again