The session will cover the most important Machine Learning algorithms, including Clustering, Decision Trees, Bagging and Random Forest, will give an introduction to both supervised and unsupervised learning, and address the basic Deep Learning architectures.
Required audience experience: No specific knowledge required.
Objective of the talk: Providing an introductory discussion of the main Machine Learning techniques and algorithms.
Keywords: Machine Learning, Regression, Classification, Neural Networks, Deep Learning
You can view Carlo’s slides below:
Carlo Luschi: Essential Machine Learning Algorithms
You can watch Carlo’s presentation below: