📚 node [[week 2 introduction]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 2 - Introduction/Week 2 - Introduction.md by @KGBicheno
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:
📖 stoas
- public document at doc.anagora.org/week-2-introduction
- video call at meet.jit.si/week-2-introduction
⥱ context
← back
activation function
adaptive resonance theory
adoption starts with education
ai glossary
applications for the three types of machine learning
attention mechanism
back propagation
best practice ai lessons from early adopters
bias
biological comparisons
build deploy or collaborate
checklist for ai adoption
classification supervised learning
cnns convolutional neural networks
deep learning
deep learning in nlp
four main categories of ai implementation
four stages of human cognition
functional patterns
gated recurrent unit
goal based patterns
hidden layers
how to get started with cognitive technology
ibm s cognitive advantage global market report
k means clustering
long short term memory lstm
machine learning
main ai page
modern approaches in nlp
natural language processing
neural networks
perceptron learning
perceptrons
project debater understanding each other through ai
q learning
quote the numbers benefits of ai adoption
recurrent neural networks in nlp
regression supervised learning
reinforcement learning in nlp
reinforcement supervised learning
rnns recurrent neural networks
supervised learning
technology patterns
the testing set
the three patterns of ai technology usage
the training set
the validation set
three ways to evaluate models
training your model
unsupervised learning
week 1 introduction
week 3 introduction
woodside ai causes growth in jobs
activation function
adaptive resonance theory
adoption starts with education
ai glossary
applications for the three types of machine learning
attention mechanism
back propagation
best practice ai lessons from early adopters
bias
biological comparisons
build deploy or collaborate
checklist for ai adoption
classification supervised learning
cnns convolutional neural networks
deep learning
deep learning in nlp
four main categories of ai implementation
four stages of human cognition
functional patterns
gated recurrent unit
goal based patterns
hidden layers
how to get started with cognitive technology
ibm s cognitive advantage global market report
k means clustering
long short term memory lstm
machine learning
main ai page
modern approaches in nlp
natural language processing
neural networks
perceptron learning
perceptrons
project debater understanding each other through ai
q learning
quote the numbers benefits of ai adoption
recurrent neural networks in nlp
regression supervised learning
reinforcement learning in nlp
reinforcement supervised learning
rnns recurrent neural networks
supervised learning
technology patterns
the testing set
the three patterns of ai technology usage
the training set
the validation set
three ways to evaluate models
training your model
unsupervised learning
week 1 introduction
week 3 introduction
woodside ai causes growth in jobs
↑ pushing here
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↓ pulling this
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→ forward
adaptive resonance theory
adoption starts with education
ai glossary
artificial intelligence/introduction to ai/week 2 introduction/activation function
artificial intelligence/introduction to ai/week 2 introduction/activation function|activation function
artificial intelligence/introduction to ai/week 2 introduction/natural language processing
back propagation
best practice ai lessons from early adopters
bias
build deploy or collaborate
checklist for ai adoption
classification supervised learning
cnns convolutional neural networks
deep learning
deep learning in nlp
four main categories of ai implementation
four stages of human cognition
functional patterns
gated recurrent unit
goal based patterns
how to get started with cognitive technology
ibm s cognitive advantage global market report
k means clustering
long short term memory lstm
machine learning
main ai page
modern approaches in nlp
neural networks
perceptrons
project debater understanding each other through ai
quote the numbers benefits of ai adoption
recurrent neural networks in nlp
regression supervised learning
reinforcement learning in nlp
reinforcement supervised learning
rnns recurrent neural networks
supervised learning
technology patterns
the three patterns of ai technology usage
three ways to evaluate models
training your model
unsupervised learning
week 1 introduction
week 3 introduction
week 4 introduction
woodside ai causes growth in jobs
adaptive resonance theory
adoption starts with education
ai glossary
artificial intelligence/introduction to ai/week 2 introduction/activation function
artificial intelligence/introduction to ai/week 2 introduction/activation function|activation function
artificial intelligence/introduction to ai/week 2 introduction/natural language processing
back propagation
best practice ai lessons from early adopters
bias
build deploy or collaborate
checklist for ai adoption
classification supervised learning
cnns convolutional neural networks
deep learning
deep learning in nlp
four main categories of ai implementation
four stages of human cognition
functional patterns
gated recurrent unit
goal based patterns
how to get started with cognitive technology
ibm s cognitive advantage global market report
k means clustering
long short term memory lstm
machine learning
main ai page
modern approaches in nlp
neural networks
perceptrons
project debater understanding each other through ai
quote the numbers benefits of ai adoption
recurrent neural networks in nlp
regression supervised learning
reinforcement learning in nlp
reinforcement supervised learning
rnns recurrent neural networks
supervised learning
technology patterns
the three patterns of ai technology usage
three ways to evaluate models
training your model
unsupervised learning
week 1 introduction
week 3 introduction
week 4 introduction
woodside ai causes growth in jobs
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