Artificial Intelligence
Artificial Intelligence suggest that machines can mimic humans in:
- Talking
- Thinking
- Learning
- Planning
- Understanding
Human Intelligence
About 70 000 years ago, the human brain started to develop “Cognitive Intelligence”:
- Being able to understand numbers
- Being able to understand a language
- Being able to understand abstract thinking
Languages
Cognitive intelligence created:
- Mind
- Words
- Numbers
Numbers
Cognitive intelligence also created:
- Numbers
- Counting
- Calculating
Computers
AI is a result of the human need for doing Complex Calculations.
This can only be achieved using high speed computers.
Mathematics
The main branches of Mathematics involved in AI are:
- Linear Functions
- Linear Graphics
- Linear Algebra
- Probability
- Statistics
These chapters provide content about the branches of mathematics that is used in data science projects (machine learning / deep learning).
Linear Algebra
AI experts cannot live without this Algebra:
- AI make use of Scalars
- AI make use of Vectors
- AI make use of Matrices
- AI make use of Tensors
Linear Grapics
- Linear means straight
- A linear graph is a straight line
- In general, a linear graph displays a Linear Function
Probability
Probability is about how likely something is
Probability is a number between 0 and 1
Statistics
How to collect, analyze, interpret, and present data.
- What is the most Common?
- What is the most Expected?
- What is the most Normal?
AI Sciences
- Clustering
- Regressions
- Perceptrons
- Training
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