Daring to quantify the markets |

All

Reinforcement Learning for Trading

16/12/2020

Machine Learning

Dream team: Combining classifiers

29/10/2020

All

Clustering S&P500 using Fully Convolutional Autoencoders

14/10/2020

All

An Introduction to Time Series Signatures

23/09/2020

Python

Introduction to NLP: Sentiment analysis and Wordclouds

29/07/2020

Machine Learning

The secret sauce that makes Deep Learning frameworks so powerful

22/07/2020

Artificial Intelligence

Variational autoencoder as a method of data augmentation

03/06/2020

Machine Learning

What is the difference between parameters and hyperparameters?

13/05/2020

Machine Learning

Can neural networks predict the stock market just by reading newspapers?

06/05/2020

All

Understanding Neural Networks (with Graphs)

29/04/2020

All

Autoencoder based outlier detection in FOREX

15/01/2020

Machine Learning

Dimensionality reduction method through autoencoders

11/12/2019

Risk Management

Mitigating overfitting on Trading Strategies

04/12/2019

Machine Learning

What is the difference between feature extraction and feature selection?

14/11/2019

Artificial Intelligence

Mitigating overfitting on Financial Datasets with Generative Adversarial Networks

16/10/2019

Artificial Intelligence

An age prediction solution applied to rank returns

09/10/2019

Machine Learning

Encoding financial texts into dense representations

11/09/2019

Machine Learning

Outliers detection with autoencoder, a neural network

10/07/2019

Machine Learning

Generating Financial Series with Generative Adversarial Networks Part 2

24/06/2019

Machine Learning

Classification of Market Regimes

17/04/2019

Machine Learning

Learning to Rank with TensorFlow

10/04/2019