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Thursday, December 5, 2019
Model Tuning for Machine Learning – Advance your Artificial Intelligence career & income horizons
Machine
Learning Pros, this course will help your slingshot the predictive
capabilities of your models, far out-pacing the limits of out-of-box ML. From a
ground-up perspective, we'll understand how a model functions, the part of the
model that is able to fit the data on its' own, and how important additional
tuning and fitting by a trained ML engineer is. This module includes real-world
examples, coding assignments, and lots of in-depth exploration of how and why
model tuning should be done. If you understand the material in this course,
your models will improve, and the results you will be able to deliver will as
well! Exceed the performance of out-of-box machine learning models -
drastically! You will learn how to make sure you are getting the best
predictions your model can provide, if you should change your model, or even if
you could benefit from packaging multiple models together to get the best fit
for your data. This program is a crucial step towards becoming an expert data
scientist - moving from simply knowing how machine learning works, to
understanding on an intuitive level how these algorithms model data, and the state
of the art techniques that are available to improve their performance. Core
skill-based training modules include: 1)
Model Tuning Introduction, 2) Bagging, 3) Boosting, 4) Hyper-Parameters, and 5)
Stacking. Much
career success, Lawrence Wilson – Artificial
Intelligence Academy
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