Part 1 AI

1. INTRODUCTION
TO Artificial
intelligence
01
Computers are able to see, hear
and learn. Welcome to the
future.” ~Dave Waters

2. CONTENT OF THIS COURSE
Here’s what you’ll find in this Course :
● What Artificial intelligence is ?
● Artificial Intelligence used in!
● Applications of Artificial intelligence.
● Machine Learning definition.
● Machine Learning Algorithms.

3. Introduction to AI with ML
What Artificial Intelligence is!
Artificial intelligence is the simulation of human intelligence processes by
machines, especially computer systems.

4. Introduction to AI with ML
Artificial Intelligence used in!

5. Introduction to AI with ML
Artificial Intelligence used in!

6. Introduction to AI with ML
What Artificial Intelligence is!
Artificial intelligence is the simulation of human intelligence processes by
machines, especially computer systems.

7. Introduction to AI with ML
Artificial Intelligence used in!

8. Introduction to AI with ML
Artificial Intelligence used in!

9. Introduction to AI with ML
Artificial Intelligence used in!

10. Introduction to AI with ML
Artificial intelligence Techniques

11. Introduction to AI with ML
What Machine Learning is!

12. Introduction to AI with ML
What Machine Learning is!
Machines can work and act like a human if they have enough information.
 Grew out of work in AI.
 It is one of the applications of AI where machines are not explicitly programmed to
perform certain tasks; rather, they learn and improve from experience automatically.
 Examples:
Database mining Large datasets from growth of automation/web.
E.G Medical records, biology, engineering
Applications can’t program by hand.
E.g., Autonomous helicopter, handwriting recognition, most of Natural
Language Processing (NLP), Computer Vision.

13. Introduction to AI with ML
Different between Traditional Programming VS Machine Learning
Programming
Traditional programming
I know the equation
Example Speed function is
S𝐩𝐞𝐞𝐝 =
𝑫𝒊𝒔𝒕𝒂𝒏𝒄𝒆
𝑻𝒊𝒎𝒆
Machine Learning Programming
I use Function called (train) to get the equation
Example if there is the house cost 600$
and it’s a 200m then the equation will be
price= 𝟑𝒙
100 200 300 400
1200
900
600
300
size

14. Introduction to AI with ML
Magic?
No, more like gardening
Seeds = Data
Nutrients = Algorithms
Gardener = You
Plants = Model

15. Introduction to AI with ML
Machine Learning Model

16. Introduction to AI with ML
Magic?
No, more like gardening
Seeds = Data
Nutrients = Algorithms
Gardener = You
Plants = Model

17. Introduction to AI with ML
Machine Learning Model

18. Introduction to AI with ML
Machine Learning Model

19. Introduction to AI with ML
Types of Machine LearningProblems
Supervised
Unsupervised
Reinforcement
Output is a discrete
variable (e.g.,cat/dog)
Classification
Regression
Output is continuous
(e.g.,price, temperature)

20. Introduction to AI with ML
Supervised Algorithm-Regression

21. Introduction to AI with ML
Supervised Algorithm-Classification

22. Introduction to AI with ML
Supervised Algorithm-Classification
SPAM

23. Introduction to AI with ML
Types of Machine LearningProblems
Unsupervised
Supervised
There is no desired output. Learn somethingabout
the data. Latent relationships.
I want to find anomalies in the credit cardusage
patterns of my customers.
Reinforcement
I have photos and want to put them in 20
groups.

24. Introduction to AI with ML
Types of Machine LearningProblems

25. Introduction to AI with ML
Types of Machine LearningProblems
Unsupervised
Supervised
Reinforcement
Useful for learning structure in the data(clustering),
hidden correlations, reduce dimensionality,etc.

26. Introduction to AI with ML
Types of Machine LearningProblems
Environment gives feedback via a positiveor
negative reward signal.
Unsupervised
Reinforcement
Supervised An agent interacts with an environment andwatches
the result of the interaction.

27. Introduction to AI with ML
Next part : Python