Machine Learning
Date:
22/10/2018 - 22/01/2019
Organised by:
SAGE Publishing
Presenter:
Dr. Claudia von Vacano
Level:
Intermediate (some prior knowledge)
Contact:
Lucy Golding lucy.golding@sagepub.co.uk
Venue: Online
Description:
You will learn the basics of machine learning and core organizational concepts of classification and regression, data preprocessing and fitting a model to a training dataset.
By the end of this course, you will be able to:
- Identify machine learning applications.
- Explain the importance of preprocessing your data for machine learning.
- Explain the rationale for splitting data into training, cross-validation and test sets.
- Understand and apply basic ideas about algorithm construction and configuration settings.
- Situate ensemble methods in the broader machine learning environment.
Cost:
80+VAT
Website and registration:
Region:
International
Keywords:
Digital Social Research, Online Data Collection , Data Collection (other), Data Quality and Data Management , R, Python, programming, machine learning
Related publications and presentations:
Digital Social Research
Online Data Collection
Data Collection (other)
Data Quality and Data Management