Staying ahead in the accelerating artificial-intelligence race requires executives to make nimble, informed decisions about where and how to employ AI in their business. One way to prepare to act quickly: know the AI essentials presented in this guide.
The Guide covers:
- Key definitions
- Understanding the major types of machine learning
- Supervised learning: Algorithms and sample business use cases
- Unsupervised learning: Algorithms and sample business use cases
- Reinforcement learning: Sample business use cases
- Understanding the major deep learning models and their business use cases
- Timeline: Why AI now?
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