Machine learning

for calculating tariff prices

Why a techtalk?

by Andrew Ng

5 courses

~80 hours of videos + coding

30 euro / month

The problem

?

The problem

3rd party service

avg 5 seconds
in 20% cases > 7 seconds
sometimes > 60 seconds

The solution

Collect the data
Take a single tariff
Use it to train the ai to tell:
1. Is it in the list (yes/no) ?
2. What is net price (decimal)
Hope the ai solves the problem

3 months, 331726 entries

ANN - Artificial neural network

- Warren McCulloch and Walter Pitts (1943) -

created a computational model for neural networks

- Ramón y Cajal, Santiago (1899).

Comparative study of the sensory areas of the human cortex.

- Frank Rosenblatt build Mark I Perceptron in 1960

ANN - Artificial neural network

- Universal approximation theorem

(proved by George Cybenko in 1989)

ANN - Forward propagation

Supervised learning,

error backward propagation

A sample training example

{
  "input": {
    
    "familyStatus": "Keine Angabe",
    "educationType": "Berufsausbildung",
    "jobSituation": "Angestellt/Selbstständig",
    "industry": "Sonstige Branche",
    "benefitAgeLimit": 60,
    "benefitAmount": 1000,
    "fractionOfficeWork": 100,
    "staffResponsibility": 0,
    "smoker": false,
    "birthday": "1983-11-07",
    "insuranceStart": "2018-12-01"
  },
  "output": {
    "exists": true,
    "net": 92.05
  }
}

Enum, 6500 options, actually ~ 6 risk groups

Enum, 4 options

Enum, 9 options

Enum, 3 options

Enum, 10 options

Number

Boolean

Date

Boolean

Number