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Practical Machine Learning on H2O

H2O via Coursera

1 Review 104 students interested
  • Provider Coursera
  • Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Start Date
  • Duration 6 weeks long
  • Learn more about MOOCs

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Overview

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In this course, we will learn all the core techniques needed to make effective use of H2O. Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms. You will also be able to evaluate your models and choose the best model to suit not just your data but the other business restraints you may be under.

Syllabus

H2O AND THE FUNDAMENTALS

Trees And Overfitting

LINEAR MODELS AND MORE

Deep Learning

UNSUPERVISED LEARNING

Everything Else!

Taught by

Darren Cook

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Review for Coursera's Practical Machine Learning on H2O
1.0 Based on 1 reviews

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Richar R
1.0 11 months ago
Richar completed this course.
I started off with Andrew Ng's classic Machine Learning course and was happy to check out other Coursera offerings, but this one was definitely a disappointment.

This course starts off with the prerequisite of having to know either R or python, and some deceptively basic statistical concepts like distribution, bias/variance, confusing matrix, etc. Working from this, it's incredible that the instructor, Darren, rams through a few models of unsupervised learning in week 5 of 6. When it actually comes to explaining how the underlying algorithms work, it's poorly explained, and t…
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