## Deep Forecasting Bitcoin with LSTM Architectures

Although Neural Networks do a tremendous job learning rules in tabular, structured data, it leaves a great deal to be desired in terms of ‘unstructured’ data. And there we come to a new concept: Recurrent Neural Networks. Recurrent Neural Network A Recurrent Neural Network is to a Feedforward Neural Network as a single object is … Read more

## Python Time Series Forecast on Bitcoin Data (Part II)

A Time Series is essentially a tabular data with the special feature of having a time index. The common forecast taks is ‘knowing the past (and sometimes the present), predict the future’. This task, taken as a principle, reveals itself in several ways: in how to interpret your problem, in feature engineering and in which … Read more

## Python Time Series Forecast – A Guided Example on Bitcoin Price Data

A Time Series is essentially a tabular data with the special feature of having a time index. The common forecast task is ‘knowing the past (and sometimes the present), predict the future’. This task, taken as a principle, reveals itself in several ways: in how to interpret your problem, in feature engineering, and in which … Read more

## Plotting Vector Fields and Gradients for ANN Gradient Descent

π This is a follow-up article to Gradient Descent in Neural Nets β A Simple Guide to ANN Learning β Finxter, where a lightweight introduction to Gradient Descent is given. In this article, you will learn how to produce the graphs in that article, especially the vector fields! Data visualization is an enlightening task in … Read more

## Gradient Descent in Neural Nets – A Simple Guide to ANN Learning

π‘ Gradient Descent: What is it? Where does it come from? And what the heck is it doing in my ANN? You can scroll through the slides as you watch this video here: This article aims to present the gradient descent algorithm in a light fashion, familiarizing new Machine Learning enthusiasts with this fundamental techniqueβ¦ … Read more