Deep Recurrent Q Network - DQN with a look into the past
Deep Q-Networks sometimes need information from different time steps to converge quickly. The Deep Recurrent Q-Network represents one possibility for this.
Hyperparameter optimization for neural networks
How exactly does one perform hyperparameter optimization? What do you have to pay attention to there? What exactly does a visualization look like? There is an answer to all these questions here.
Deep Q Network - Deep Learning and Reinforcement Learning in a simple way
Artificial neural networks have achieved success in many fields. Here I present the first algorithm for training neural networks for reinforcement learning: the Deep Q-Network.
Linear Regression
In the Big Data business, (co-)rellations are often useful to make decisions. Here is one easy method to find such information: Linear Regression.