Machine Learning with R Online Course
EduCBA
Summary
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Overview
Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making.
This training is an introduction to the concept of machine learning and its application using R tool.
Description
The training will include the following:
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- Introducing Machine Learning
a. The origins of machine learning
b. Uses and abuses of machine learning
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- Ethical considerations
- How do machines learn?
- Steps to apply machine learning to your data
- Choosing a machine learning algorithm
- Using R for machine learning
- Forecasting Numeric Data – Regression Methods
- Understanding regression
- Example – predicting medical expenses using linear regression
a. collecting data
b. exploring and preparing the data
c. training a model on the data
d. evaluating model performance
e. improving model performance
Target Customers:
- Data analysts
- Data scientists
Pre-Requisites:
- No prior knowledge of machine learning required
- Basic knowledge of R tool
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.