AI/ML: Introduction to Techniques and Processes
This half-day workshop provides participants with an introduction to: The foundational components of AI and…
Statistical Learning and Association Rules
After having spent some time on data preparation, data cleaning, data exploration, and on a…
Introduction to Clustering
When it comes to using mathematical and statistical language and formalism, supervised learning slots into…
Introduction to Classification
Supervised learning tends to be easier to set-up than unsupervised learning, given the general clarity…
Natural Language Processing I – NLP Basics
The methods of supervised and unsupervised learning can be applied to data that arises in…
Natural Language Processing II – NLP Tasks
The methods of supervised and unsupervised learning can be applied to data that arises in…
Natural Language Processing III – Topic Modeling
The methods of supervised and unsupervised learning can be applied to data that arises in…
Spotlight on Classification and Value Estimation I
In this course, we introduce a number of classification and value estimation methods: logistic regression,…
Spotlight on Classification and Value Estimation II
In this course, we introduce a number of classification and value estimation methods: rare occurrence…
Text Mining I – Text Processing
The methods of supervised and unsupervised learning can be applied to data that arises in…