Month: May 2019

Decision Intelligence

by

Cassie Kozyrkov (Google) presented a view on machine learning and artificial intelligence that was completely new to me. Starting with the idea

All technology is an echo of the wishes of whoever built it.

Cassie Kozyrkov

She is emphasizing to reduce the fear on the technology on believe in the human. The possibility to communicate to machines not with code, instead with experience and examples as we do it all the years in the past.

She pointed out the AI as student with certain special capabilities. By the way a great quote:

Written in Python it is ML – written in PowerPoint it is AI.

Cassie Kozyrkov

So how to work with that student?

StepStudentAI
Purposewise objective to studywise objective to optimize
Informationrelevant textbooksrelevant datasets
Testingwell-crafted examsstatistical tests
Generalprudent safety netprudent reliability engineering

As in real live, be aware of the competence of the student. If you have a student with an remarkable memory you can not test him by asking informations he exactly learnt in the same way from a textbook. You also cannot ask him the same test questions twice.

Electric Cars

by

Alejandro Agag, founder of the Formula-E presented why and how to change the world.

Starting with:

There are two doors. Behind Door Number One is a completely sealed room, with a regular, gasoline-fueled car. Behind Door Number Two is an identical, completely sealed room, with an electric car. Both engines are running full blast.I want you to pick a door to open, and enter the room and shut the door behind you. You have to stay in the room you choose for one hour. You cannot turn off the engine. You do not get a gas mask.I’m guessing you chose the Door Number Two, with the electric car, right? Door number one is a fatal choice – who would ever want to breathe those fumes?

Arnold Schwarzenegger

It is clear that electrification is the needed future. How to become everybody on board and get everyone enthusiastic about it?

Starting with electric cars – better electric race cars.
In the first generation show the electric advantages like torque, noise, … but the driver has to change the car. Emotion is triggered but the range is limited.
The second generation – today – can already deal with the complete race distance. You can see that the cars can deal with longer distances. So the electric car becomes mature but what is about disadvantage of slow refill. How to use it as classic fuel consuming cars with fast refills?
The next generation – you will see fast charging – like Formula One in 10-15s. Now the electric car has only advantages compared to classic combustion engine driven vehicles.

And on this journey he takes millions of people with him.

Find Potential Investments II

by

The Target View

At the end I want a table to find fast the items that might be interesting to be more investigated. This is structured in the following way:

variablecomment
isinISIN Code is used as the guiding element.
Also all the data files will be named according that identifier.
nameName of the company to be aware what to reed
dateDate of the last crawl to detect a broken pipeline, too

Find Potential Investments

by

The Purpose

There is an uncountable number of potential investments and chances existing in the world. Why not get them searched and reduced to a data set that might be investigated more deep to find the “right” one?

Solution is a very tailored crawler written in Python.

The Data Model

Crawling a page it is possible to extract some relevant data.