Artificial Intelligence Workshop 2019

Artificial intelligence
Major goals
Knowledge reasoning
Planning
Machine learning
Natural language processing
Computer vision
Robotics
Artificial general intelligence
Approaches
Symbolic
Deep learning
Bayesian networks
Evolutionary algorithms
Philosophy
Ethics
Existential risk
Turing test
Chinese room
Friendly AI
History
Timeline
Progress
AI winter
Technology
Applications
Projects
Programming languages
Glossary
Glossary
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In computer science, Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.

 A way to determine and measure problem complexity
 Python Programming
 ML Library Scikit , NumPy, Matplotlib, Pandas, Theano, TensorFlow
 Learning to solve statistics and mathematical concepts
 Supervised and unsupervised learning
 Classification and Regression
 Artificial Neural Network(ANN) Programming
 Clustering Problems
 Deep Learning

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