xREL.v3

JUDGEMENT

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* Title..: Pluralsight Creating Machine Learning Models
* Date...: 18-01-2020
* Type...: Bookware
* Disks..: 25x15mb

Release notes:

As Machine Learning explodes in popularity, it is becoming
ever more important to know precisely how to frame a
machine learning model in a manner appropriate to the
problem we are trying to solve, and the data that we have
available.

In this course, Creating Machine Learning
Models you will gain the ability to choose the right type
of model for your problem, then build that model, and
evaluate its performance.

First, you will learn how rule-
based and ML-based systems differ and their strengths and
weaknesses and how supervised and unsupervised learning
models differ from each other.

Next, you will discover
how to implement a range of techniques to solve the
supervised learning problems of classification and
regression. You will gain an intuitive understanding of the
the model algorithms you can use for classification and
regression. Finally, you will round out your knowledge by
building clustering models using a couple of different
algorithms, and validating the results.

When you're
finished with this course, you will have the skills and
knowledge to identify the correct machine learning problem
setup, and the appropriate solution and evaluation
techniques for your use-case.

More info:
https://www.pluralsight.com

Install notes:

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