Training data for machine learning: here’s how it works
Discover the crucial role of training data for machine learning. Learn how it’s used to teach algorithms to make predictions and decisions.
What is synthetic data? Types, challenges, and benefits
Learn about the different types of synthetic data, the hurdles in creating it, and how it’s revolutionizing industries.
Gen AI: challenges and opportunities
A conversation on Gen AI challenges and opportunities with insights from Sigma’s Executive Senior Advisor, Dr. Jean-Claude Junqua.
The machine learning workflow: Key steps and best practices
Master the machine learning workflow with this guide. Learn key steps, best practices, and tips for building successful ML models.
Conversational AI: How it works, use cases & getting started
Conversational AI is the synthetic language and brainpower that makes human interactions with machines more effective and natural.
Data Preparation 101
Data preparation is a critical step in ensuring data is clean, usable, and properly interpreted for use in machine learning.
What is Human in the Loop (HITL)?
Human in the loop machine learning refers to models that reinforce the information produced by ML with constant human influence.
What is Data Labeling?
In machine learning, data labeling is the process of adding labels to raw data in order to provide context for a machine learning model.