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Bring yourself up to speed with our introductory content.

• How to use machine learning to build a predictive algorithm

  Machine learning is an invaluable tool for solving business problems, but don't jump into it for predictive analytics without understanding these important factors. Continue Reading

• Machine learning models require DevOps-style workflows

  Big data is driving the use of AI and machine learning. But teams must be swift to embrace DevOps and re-evaluate models, according to Wikibon's James Kobielus. Continue Reading

• AI components make tools more than the sum of their parts

  AI applications, rather than being one monolithic tool, are built around a diverse collection of tools and techniques that combine to produce advanced functionality. Continue Reading

• Definitions to Get Started

  • What is automated machine learning (AutoML)?
  • What is a data scientist? What do they do?
  • What are AI agents? Types and examples
  • What is an intelligent agent? Definition, use cases and benefits

  • What is natural language processing (NLP)?
  • What is a neural network?
  • What is edge AI?
  • What is AgentOps? What it does and how it powers AI agents

  View All Definitions