Deep Learning with Yacine on MSN

Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...
Deep Learning with Yacine on MSN

AdamW optimizer from scratch in Python – step-by-step tutorial

Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep ...

Crocodile Crush: Why Florida’s Top Predator Isn’t Always the One You Think

Who do you think would win a fight between a python and a crocodile in Florida? Generally, we would look to real-life ...

Monty Python star John Cleese questions whether World Cup should be held in US after ICE’s Minnesota presence

Renee Good was killed while operating a vehicle that agents ordered her to exit, according to Department of Homeland Security ...

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
GitHub

Python Learning Roadmap in 30 Days

Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...
Microsoft

FlashFill++: Scaling Programming by Example by Cutting to the Chase

Programming-by-Examples (PBE) involves synthesizing an intended program from a small set of user-provided input-output examples. A key PBE strategy has been to restrict the search to a carefully ...
tech2geek

How to Use input() in Python: A Complete Guide with Examples

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...
The Conversation

Leading by example: how the rich and powerful can inspire more climate action

Sam Hampton receives funding from the Economics and Social Research Council. He is affiliated with the University of Oxford and University of Bath. Tina Fawcett currently receives funding from UKRI.
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...