Brief introduction
to

machine learning

"... the field of study that gives computers the ability to learn without being explicitly programmed."

Arthur Samuel

AI

ML

Deep learning

Anomaly detection

Recommendation engines

Image recognition

Natural language processing (NLP)

Named entity recognition

supervised learning

classification

regression

unsupervised learning

m^2

$$$

$$

$

linear regression

gradient descend

Detecting fake

 

page...

incorrect address

30%

10%

13.33%

If the              has incorrect address, the probability of it's being fake is 

Naive Bayes algorithm

age gender app
15 F
25 F
32 M
40 F
12 M
14 M
age gender app
15 F
25 F
32 M
40 F
12 M
14 M
age gender app
15 F
25 F
32 M
40 F
12 M
14 M

age

<20

>=20

age gender app
25 F
32 M
40 F

age

gender

<20

>=20

male

female

decision tree

errors: 30

errors: 15

errors: 10

errors: 3

logistic regression

Support Vector Machine
Kernel Trick

https://www.youtube.com/watch?v=IpGxLWOIZy4

 

https://medium.com/towards-data-science/machine-learning-brief-introduction-51e5d0441d9a

https://docs.google.com/spreadsheets/d/13R4Tg-0qRjgjirCc33Z_er_EKPGFNKri4bAlOItIpQM/edit#gid=0

resources:

Q&A

Brief introduction to ML

By Maciej Jordanek

Brief introduction to ML

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