Workshop details

• Machine learning is a powerful tool for analyzing data and make striking predictions when good quality annotated datasets are available. With the plethora of health datasets made available by health providers and research projects world wide, it is indispensable for the modern data scientist to master in such techniques.

• This workshop is a entry point for attendees new to Machine Learning willing to get some fundamental theoretical background before moving to my practical ML workshops in R and Python.

Learning objectives

• Understand the fundaments of Artificial Intelligence;

• Get familiar with the use cases where AI solutions are applied in Medicine;

• Understand the limitations and how to interpret AI inferences;

• Learn the common terminologies used in machine learning;

• Prepare and pre-process ML input data;

• How to treat missing values;

• How to select good predictors;

• Learn how to identify overfitted and how to tune models;

• Prepare test and train datasets;

• Lear how resampling techniques work.

Syllabus

• Artificial Intelligence definition;

• Use cases of AI in medicine;

• AI as a resource for decision-making;

• Fields of application of AI in medicine;

• Limitation of AI;

• Prediction versus Interpretation;

• Importance of subject-specific knowledge;

• How to build an effective predictive model;

• Machine Learning Terminology;

• Data preparation;

• Data Representation;

• Centering and Scaling data;

• Outliers;

• Data Reduction and Feature Extraction;

• Missing Values;

• Imputation;

• Predictors selection;

• Overfitting and Tuning;

• Data splitting;

• Resampling Techniques;

Format

• Zoom live webinar: 1h live webinar with pre-recorded presentation split in two sessions of 30min each with a break of 5min between them. Attendees are welcome to join asynchronous live group discussion (Q&A) with the speaker on Discord during and after the scheduled session.

• General discussion session: 1h Q&A recurrent pre-dated session booked for attendees of multiple slots of this workshop.

• Recorded presentation: Attendees registering using a Google e-mail account, will have private access to the recorded webinars.

• Certificate: all attendees checking-in and out of both 30min sessions will be entitled to receive a certificate of participation (PDF/PNG) that can be shared on your social media with credentials (QR-code) that can be verified on our website, with an option (extra fee) to register as a NFT asset with an unique address on the Ethereum blockchain.