Intro to Machine Learning 1-Day Workshop

AI Workshop Summary

In this day-long instructor-led workshop, participants will be introduced to the fundamentals of data science theory, tools, and practice. This course is suitable for anyone with basic computer skills; some knowledge of code and statistics is a bonus and this will only enhance your experience of the course.

In this Workshop participants will learn:

• The data science project workflow

• How to source and prepare data

• How to select a suitable model for the task

• How to configure and tune a machine learning model

• Other exciting applications of AI in interactive demos

Agenda:

Module 1: Data collection and preparation

• What good data looks like

• How to find good data

• Preparing data for your model

• Cleaning data

• Training, Validation, and Testing

Module 2: Selecting a model

• What are models and how to find them

• Working back from the goal

• Picking our architecture

Module 3: Fitting the model

• Passing the data in

• Testing the model

Module 4: Tuning the model

• Improving performance

• Hyper parameters and how to tune them

• Validation and the importance of a test set

• Other methods of improving performance

Module 5: More use cases

• Other uses of our model

• Other interesting models

• What is possible (and what isn’t)