Introduction to Artificial Intelligence - Part 2

1. Machine Learning
Entering into The Wonderful Galaxy of Machine Learning
Version: 0.1
Minhas Kamal
Software Engineer,
SRBD, Dhaka, Bangladesh
Website: minhaskamal.github.io
Date: 28th Nov, 2017

2. We Will Learn
‒ What Is ML?
‒ Types of ML
‒ Some ML Techniques
‒ Deep Learning!
TotalSlides-11

3. 01
Machine Learning
a field of computer science that gives
computers the ability to learn without
being explicitly programmed.
- Wikipedia

4. 01
Machine Learning
execute

5. 01
Machine Learning
calculate
error
execute

6. 01
Machine Learning
improve
calculate
error
execute

7. 01
Machine Learning
improve
calculate
error
execute

8. 01
Machine Learning
People worry that computers will get
too smart and take over the world, but
the real problem is that they're too stupid
and they've already taken over the world.“

9. 02
Types of ML: Feedback System

10. 02
Types of ML: Feedback System
UnsupervisedSupervised

11. 03
Types of ML: Nature of Output

12. 03
Types of ML: Nature of Output
RegressionClassification

13. Some ML Techniques

14. 04
Linear Regression

15. 04
Linear Regression
Y` = m * X + c
e = Y – Y`
m = m - e
c = c - e

16. 04
Linear Regression
Graduated
(g)
Passed
(p)
Decision
(d)

17. 05
Naïve Bayes

18. 05
Naïve Bayes
P(h|d) = -------------
P(h) * P(d|h)
P(d)

19. 05
Naïve Bayes

20. 05
Naïve Bayes

21. 05
Naïve Bayes

22. 05
Naïve Bayes

23. INTERMISSION

24. 06
K-Means Clustering

25. 06
K-Means Clustering
μ = ------
∑xi
n
d = μ - xi

26. 06
K-Means Clustering

27. 06
K-Means Clustering

28. 07
Decision Tree

29. 07
Decision Tree

30. 07
Random Forest

31. 08
Adaboost

32. 09
Support Vector Machine

33. 09
Support Vector Machine

34. 09
Support Vector Machine

35. 10
Recurrent Neural Network

36. 11
Convolutional Neural Network

37. Next We Explore
The Brilliant World of Deep-Learning