Data Science
Trading Using Q-Learning: A Step-by-Step Guide

Trading Using Q-Learning: A Step-by-Step Guide

Welcome to the fascinating world of trading using Q-Learning! In this project, you’ll discover how to implement an adaptive learning model for trading a single stock within a reinforcement learning framework. This innovative approach leverages reward and punishment...

Mastering Exploratory Data Analysis with YData Profiling

Mastering Exploratory Data Analysis with YData Profiling

In today's data-driven world, creating insightful data analyses is crucial for decision-making. YData Profiling provides a fast and consistent approach to perform Exploratory Data Analysis (EDA) in just a few lines of code. Join us on this journey to uncover the...

How to Implement and Use FiLM for Visual Reasoning

How to Implement and Use FiLM for Visual Reasoning

In this guide, we'll walk you through the implementation of FiLM, or Feature-wise Linear Modulation, an innovative approach to visual reasoning that allows you to answer multi-step questions based on images. Our focus will be on reproducing the results from the AAAI...

Getting Started with Trax: Deep Learning Made Simple

Getting Started with Trax: Deep Learning Made Simple

Welcome to a world of deep learning with Trax, an end-to-end library developed by the Google Brain team. With its clear code and high-speed performance, Trax makes it effortless to dive into machine learning. In this guide, we’ll walk through the basics of using Trax...

Get Started with JAX: A Friendly Guide

Get Started with JAX: A Friendly Guide

The journey into the world of machine learning can often feel daunting. But don’t worry! With JAX, Flax, and Haiku at your disposal, you have a powerful toolkit to get started. This article will guide you through the essentials of using JAX and its ecosystem...