Artificial intelligence is changing the way portfolios are built and managed. For a long time, investors relied mainly on ...

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

This course explores the foundations of wearable technology and how it shapes healthcare, fitness, and everyday ...

Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are two widely used neuroimaging techniques, with complementary strengths and weaknesses. Predicting fMRI activity from ...

Abstract: This study introduces a novel strategy for waste segregation employing Convolutional Neural Networks (CNNs) and Python programming. By harnessing CNNs’ image feature extraction capabilities, ...

Thinking Machines Lab Inc. today launched its Tinker artificial intelligence fine-tuning service into general availability.

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...