Big data world

In this guide, we use computer vision to process multiple live video streams to perform analysis and gain insights.

Introduction to data structures, offering examples of each structure and illustrating how they could be represented in Memgraph

In this blog, we will define Pandas and provide an example of how you can vectorize your Python code to optimize dataset analysis using Pandas to speed up your code over 300x times faster.

Reinforcement Learning (RL) is a type of machine learning. It trains an agent to make decisions by interacting with an environment. This article covers the basic concepts of RL. These include states, actions, rewards, policies, and the Markov Decision Process (MDP). By the end, you will understand how RL works. You will also learn how to implement it in Python. Key

Using PyTorch, computer vision techniques, and a CNN, I worked on a model that tracks players, teams, and basic performance statistics

#16 How I mastered DSA

We would like to thank Voltage Park, Dell, H5, and NVIDIA for their invaluable partnership and help with setting up our cluster. A special…

Multilingual and Controllable Text-to-Speech Toolkit of the Speech and Language Technologies Group at the University of Stuttgart. - DigitalPhonetics/IMS-Toucan

In the realm of machine learning, TensorFlow Lite is pushing the boundaries with on-device training. Imagine a world where your mobile apps…