A Pragmatic Approach to Machine Learning with R
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- The lowest price of A Pragmatic Approach to Machine Learning with R was obtained on November 22, 2024 11:54 am.
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A Pragmatic Approach to Machine Learning with R
$64.99
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A Pragmatic Approach to Machine Learning with R
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$64.99
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Udemy.com
as of November 22, 2024 11:54 am
No experience needed. Learn by doing. Start for Free. Learn from a full time machine learning gig consultant.
Created by:
Richard Churchman
A pragmatic approach to Machine Learning with R for 2021
A pragmatic approach to Machine Learning with R for 2021
Rating:5 (4reviews)
44students enrolled
What Will I Learn?
- How to apply methodology to assure the success of machine learning projects.
- How to comfortably replace Excel with R, never returning to Excel for analysis again!
- How to import, shape, mould, filter, arrange and aggregate date in R instead of using a database for the same.
- How to make assertions about data with summary statistics and make one variable predictions.
- How to express domain experience given data and the overarching importance of Abstraction.
- How to make classifications with Logistic Regression, C5 Decision Trees and Neural Networks.
- How to make numeric predictions with Linear Regression, Regression Trees and Neural Networks.
- How to make pragmatic use of visualisations.
- How to use subjective probability and know its function in Bayesian networks.
- How to use Monte Carlo simulation with numeric predictions or classifications for the purposes of optimisation.
- How to integrate models as high performance HTTP microservices.
Requirements
- Interest and curiosity about machine learning.
- A basic background in Excel only.
- A project to move onto immediately on conclusion of the course to avoid skill fade.
Target audience
- Managers who want to lean more advanced analytical techniques and machine learning.
- Data analysts who want to learn more advanced analytical techniques and machine learning.
- Junior analysts who want to accelerate their career by taking on an advanced analytics or machine learning project on their own initiative.
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