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
- 227