## Make a Profitable Portfolio using Python

In this tutorial, you will learn how to find a combination of stocks with high expected return and low risk using Python.

## Pi Day! Pi and The Basel Problem

Huray! It was Pi day last week! To celebrate this, I will sketch the solution of a well-known problem in which pi shows up unexpectedly. One entertaining introduction video about this problem can be found here.

## Tic-Tac-AI: A Strong Tic-Tac-Toe AI Opponent using Forward Sampling

You want to build your own Tic-Tac-Toe opponent? Then you need to read further! In the Tic-Tac-AI series, I will present a couple of Artificial Intelligence algorithms implemented as Tic-Tac-Toe opponent. In this first article, I will introduce a method called Forward Sampling which is capable of not losing any game of Tic-Tac-Toe!

## Maximize Profit and Minimize Risk with Bitcoin Price Prediction

Suppose you trained an algorithm which predicts the stock market correct about 70% of all cases. Now you would like to start using your algorithm in real life. Chances are that you don’t get what you expect! On every stock market, you have to pay fees for trading (both for buying and selling stocks). In this article, I will explain how I minimized the risk for my Bitcoin Stock Prediction algorithm mathematically. My algorithm and risk minimization is successfully tested on a Bitcoin stock market called Kraken.

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## Artificial Neural Nets, a gentle introduction

This article explains the basics of some Artificial Neural Network models an overview of the recent history Artificial Neural Networks, from MLPs to GANs. Feel free to join the discussion!