Find your answer by subject

Data Collection and Processing

Considerations in data collection and data processing

Data Pre-processing

What is data pre-processing about?

Data Privacy & Ethics

Develop a more ethical, transparent, and safe AI system with these resources.

Data Quality

Data quality concerns

Definitions

Definitions of the terminology used in this toolkit

Feature Engineering

What is feature engineering and considerations in performing feature engineering

Machine Learning Lifecycle

Key aspects of the machine learning project lifecycle

Missing Data

What is the nature of missing data? How to consider handling missing data?

Scoping

Deciding on the objectives of the project. What makes a good candidate for a machine learning or artificial intelligence application

What if we don’t have the right data to solve the problem?

Data limitations in the data collected to solve a problem

What if we don’t like the results?

Reacting to poor results

When is the project over?

Aligning project expectations

Who does the problem affect?

Identifying the end users

Why is the problem important?

Defining the problem