Machine Learning
Navigating Gradient Descent for Optimal Models
Introduction to Gradient Descent
Gradient Descent is a versatile optimization algorithm used to find optimal solutions across various problems. The core concept behind it is...
Machine Learning
Building a Shared Vocabulary
Breaking Down Barriers in Science
The world of science has undergone significant changes over the past 15 years, and Kaiming He, the Douglas Ross (1954)...
Machine Learning
A Missed Opportunity for AI and Data Science in Julia Programming
Introduction to Julia
In today's world of artificial intelligence (AI) and data science, two programming languages, Python and R, dominate the landscape. However, there's another...
Machine Learning
Climate Change Puzzle
Introduction to a Passionate Problem Solver
Shreyaa Raghavan’s journey into solving some of the world’s toughest challenges started with a simple love for puzzles. By...
Machine Learning
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Introduction to Khaleh Services
The term "خاله" (Khaleh) translates to "aunt" in Persian, but in the context of Iranian cities, it refers to a unique...
Machine Learning
Unlocking Fusion’s Core with Artificial Intelligence
Introduction to Fusion Energy
Creating and sustaining fusion reactions, which involves recreating star-like conditions on Earth, is an extremely challenging task. Nathan Howard, a principal...
Machine Learning
AI Revolution
The Rise of Artificial Intelligence: A Double-Edged Sword
The rapid advancement of technology has been a thrilling development, but it also has its downsides. Artificial...
Machine Learning
Factory-in-a-Box for Hands-On Education
Introduction to the FrED Factory
The Massachusetts Institute of Technology (MIT) and TecnolĂłgico de Monterrey (Tec), one of the largest universities in Latin America, have...