Deep Learning with Yacine on MSN

Adadelta optimizer explained – Python tutorial for beginners & pros

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
Deep Learning with Yacine on MSN

Nadam optimizer explained: Python tutorial for beginners & pros

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...

15 remote entry-level jobs that pay at least $40 per hour

You might be staring at your budget, wondering how you’re supposed to cover rent, debt, and everything else on $20–$25 an ...
Analytics Insight

What are the Best Python Libraries for Reinforcement Learning in 2025?

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

A Survey of Recent Advances in Optimization Methods for Wireless Communications

Abstract: Mathematical optimization is now widely regarded as an indispensable modeling and solution tool for the design of wireless communications systems. While optimization has played a significant ...
GitHub

mohansree14/Bayesian-Deep-Learning-for-Probabilistic-Financial-Forecasting

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
IEEE

Mathematical Modeling and Simulation of Traffic Flow Control in Urban Environments Using Fuzzy Deep Neural Network With Optimization Algorithm

Abstract: With the enlarging number of transports on the road and fast growth, traffic flow is a significant current worry that obstructs the financial system’s evolution and affects the quality of ...