AskMath Introduces AI Math Solver with Step-by-Step Problem Analysis

AskMath announced the launch of an AI Math Solver designed to provide detailed problem-solving guidance for a variety of ...
Dot Physics on MSNOpinion

Calculating the Location of Lagrange Points L1 and L2

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Algorithm finds smallest dataset that guarantees optimal solutions to complex problems

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...
Hosted on MSN

Large AI Companies Can’t Solve Electricity Problem

A Texas utility thinks it can solve the AI electricity problem by balancing loads with residential customers. Additionally, batteries could be used to store excess electricity for future use. The ...
ZME Science

How To Solve Any Problem Using Enrico Fermi’s Back-Of-The-Envelope Math (And Some Common Sense)

In 1945, as the first atomic bomb exploded in the New Mexico desert, Enrico Fermi stood miles away, holding a few scraps of paper. As the shockwave rolled toward him, he dropped the papers and watched ...
IEEE

SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture

Abstract: Many real-world systems can be naturally described by mathematical formulas. The task of automatically constructing formulas to fit observed data is called symbolic regression. Evolutionary ...
GitHub

I will update this repository to learn Machine learning with python with statistics content and materials

Day - 19 22-06-2019 Big Mart Sales (Linear Regression Hackathon Practise): BigMart Sales Hackathon contest in AnalyticsVidhya Did necessary preprocessing and predicted the result using the Linear ...
IEEE

Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regression

Abstract: The least squares (LS) estimate is the archetypical solution of linear regression problems. The asymptotic Gaussianity of the scaled LS error is often used ...