2.1 Introduction
Learning objectives
1. Brief history of AI and ML
2. Difference between AI, ML, statistics and data science
3. Understand why computers compute!
Talk the talk
- Algorithm
- Heuristic
- Logic Gate
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2.2 Origins
Elektro, 1936, Electric house Talos, greek mithology 1945, Alan Turing
Can machine think? by A.M. Turing
The fist use of the term “Artificial intelligence” was founded in the proposal for the Dartmouth summer research project on Artificial intelligence at 1955
This is related to
- Automatic computers
- How can a computer be programmed to use a language?
- Neuron nets
- Theory of size of a calculation
- Self-improvement
- Abstraction
- Randomness and creativity
2.3 Machine Learning
Arthur Samuel, in 1959, he created a checker playing program. That was one of the first examples of a self-learning program. This contained the first concepts relative to reiforcement learning
Data science and machine learning share a common branch of the “Math roots”, that being applied mathematics
Artificial Intelligence Space
This include:
- Natural Language processing
- Speech
- Robotics
- Expert Systems
- Vision _ Neural Networks
- Machine Learning
Machine Learning Space
- Ensemble
- Reinforcement
- Supervised
- Semi-supervised
- Unsupervised
- Whatever’s next …
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2.4 Machine Learning Models
2.5 Why it Works: Logic Gates
2.6 Lab: Logic Gates
try with logic.ly
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