Arthur Samuel
AI
Deep learning
Anomaly detection
Recommendation engines
Image recognition
Natural language processing (NLP)
Named entity recognition
classification
regression
m^2
$$$
$$
$
30%
10%
13.33%
If the has incorrect address, the probability of it's being fake is
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
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