Understanding the Data Side of Machine Learning
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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
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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
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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
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Any given machine learning workflow defines which phases are implemented, and how, during a ML project.
Understanding Conversational AI
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Conversational AI is the synthetic language and brainpower that makes human interactions with machines more effective and natural.
Data Preparation 101
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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)?
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Human in the loop machine learning refers to models that reinforce the information produced by ML with constant human influence.
What is Data Labeling?
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In machine learning, data labeling is the process of adding labels to raw data in order to provide context for a machine learning model.