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with Doug Rose
Get a simplified overview of the top tools in artificial intelligence.
Why you need to know about artificial intelligence
Define general intelligence
The general problem-solver
Strong vs. weak AI
Machine learning
Artificial neural networks
Searching for patterns in data
Robotics
Natural language processing
The Internet of Things
Labeled and unlabeled data
Massive datasets
Classify data
Cluster data
Reinforcement learning
Common algorithms
K-nearest neighbor
K-means clustering
Regression
Naive Bayes
Select the best algorithm
Follow the data
Overfitting and underfitting
Build a neural network
Weighing the connections
The activation bias
Learning from mistakes
Step through the network
Using AI systems
Applying AI to solve problems