Category: Training Modules

Probabilistic modelling, learning and algorithms
Understanding interactions between objects
Data visualization techniques for data science
Data visualization techniques for data science
Introduction to distributed computing using Spark
Foundations of deep reinforcement learning
Relevant statistical methods for data with high dimensions
How can causal relationships help with prediction?
From theory to practice
An introduction to basic data science techniques using R or Python

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