Week 2 - Cognitive Computing

• [[Adaptive resonance theory]]
• [[Four stages of human cognition]]
• [[How to get started with Cognitive Technology]]
• [[Adoption starts with education]]
• [[IBM’s cognitive advantage global market report]]
• [[The Three patterns of AI technology usage]]
• [[Adoption starts with education]]
• [[Best practice - AI lessons from early adopters]]
• [[Build, deploy or collaborate]]
• [[Checklist for AI Adoption]]
• [[Four main categories of AI implementation]]
• [[Four stages of human cognition]]
• [[Functional Patterns]]
• [[Goal-based Patterns]]
• [[k-means clustering]]
• [[Technology Patterns]]
• [[Project Debater - Understanding each other through AI]]
• [[Quote the numbers - benefits of AI adoption]]
• [[Woodside - AI causes growth in jobs]]
• [[Machine Learning]]
• [[Supervised Learning]]
• [[Regression - supervised learning]]
• [[Classification - supervised learning]]
• [[Reinforcement - supervised learning]]
• [[Unsupervised Learning]]
• [[Training your model]]
• [[Three ways to evaluate models]]
• [[Deep Learning]]
• [[Neural Networks]]
• [[Back-propagation]]
• [[Perceptrons]]
• [[Bias]]
• [[Artificial Intelligence/Introduction to AI/Week 2 - Introduction/Activation function]]
• [[CNNS - Convolutional neural networks]]
• [[RNNS - Recurrent neural networks]]
• [[Artificial Intelligence/Introduction to AI/Week 2 - Introduction/Natural Language Processing]]
• [[Modern Approaches in NLP]]
• [[Recurrent Neural Networks in NLP]]
• [[Reinforcement Learning in NLP]]
• [[Deep Learning in NLP]]
• [[Long short-term memory - LSTM]]
• [[Gated Recurrent Unit]]
• [[Activation Function]]

See the [[AI Glossary]] for clarification on topics.

Go back to [[Main AI Page]]

Also see:

• [[Week 1 - Introduction]]
• [[Week 3 - Introduction]]
• [[Week 4 - Introduction]]