Machine Learning course from Stanford University on Coursera. function J = computeCost(X, y, theta) # Initialize some useful values m = length(y); # number of training examples # You need to return ...

Everyone has their toolbox of favorite programs that they install on their machines whenever they get a new one. Working with Python, I've built up my own essential toolkit. Here are the libraries and ...

Abstract: MATLAB is an elite language for specialized registering. It coordinates calculation, perception, and programming condition. In addition, it has powerful built-in routines that enable a very ...

Optical 3D surface scanning is used increasingly to assess spinal deformity of patients with scoliosis. However, approaches based on optical 3D scanning often underestimate the spinal deformity. To ...

Exogenous attention is a rapid, involuntary mechanism that automatically reallocates processing resources toward salient stimuli. It enhances visual sensitivity in the vicinity of the salient stimulus ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

Casey Murphy has fanned his passion for finance through years of writing about active trading, technical analysis, market commentary, exchange-traded funds (ETFs), commodities, futures, options, and ...

Abstract: A time-space (TS) traffic diagram, which presents traffic states in time-space cells with color, is an important traffic analysis and visualization tool. Despite its importance for ...

How can a machine learning model be trained to classify flowers? The fundamental question behind this is how a machine learning model categorizes data like the flower pictures. Adaline (Adaptive ...