Understanding the Data Side of Machine Learning
There are many different types of learning that you may encounter as a practitioner in the field of machine learning — here are some of the most important.
Understanding Synthetic Data
With businesses looking for more and more data to enable machine learning, many are turning to synthetic data to fill in the gaps.
The Challenges and Opportunities of Generative AI
An interview with Dr. Jean-Claude Junqua It seems like articles about Chat GPT, Bard, and Generative AI (Gen AI) appear almost daily. We caught up with Sigma’s Executive Senior Advisor, Dr. Jean-Claude Junqua, to discuss what goes into the development of these technologies and the future of generative AI. What are some of the use […]
The Machine Learning Workflow
Any given machine learning workflow defines which phases are implemented, and how, during a ML project.
Understanding Conversational AI
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.