This is my startup project in the UW Entrepreneurship course. Are you interested in preventing accidents caused by distracted driving? I need your support to bring this to real life. Please Join ..
Last Friday Google and a company called Jigsaw launched a project, called “Perspective”, that uses ML to detect trolling ..
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In classification, the target variable is categorical and unordered.. To solve a multi-class classification problem, we typically ..
For Classification Problems In classification, the target variable is categorical and unordered. To solve a two-class classification ..
In classification, the target variable is categorical and unordered.. To solve a two-class classification problem, we typically ..
In regression, the target variable is continuous or ordered whole values. To solve a regression problem, we typically choose ..
Reinforcement Learning a the 3rd area in Machine Learning. It’s different from Supervised Learning and Unsupervised Learning. ..
Intelligence Quotient (IQ) Test is a set of standardized questions designed to evaluate human intelligence. In June 2015, ..
Overfitting (aka. high variance) If we have too many features, the learned hypothesis may fit the training set very well ..
Logistic regression, despite its name, is a linear model for classification rather than regression. It is regressing for the probability ..
Polynomial regression is a form of linear regression in which the relationship between the independent variable x and the dependent ..
This blog talks about when you should use Gradient Descent and when you should use Normal Equation. Here are some of their ..
Today I attended a presentation by Laurie Frick, a data artist exploring patterns of self-tracking sensors, surveillance, ..
Linear Regression with Multiple Variables, also called as ‘Multivariate Linear Regression’, is used when you want to predict ..
OpenCV OpenCV provides SIFT or SURF based feature matching technique to match images. (If you are new to SIFT, please read ..
Linear Regression with One Variable, also called as ‘Univariate Linear Regression’, is used when you want to predict ..
Regression In regression, the target variable is continuous or ordered whole values For example, suppose you are working ..
Supervised Learning Supervised learning (machine learning) takes a known set of input data and known(labeled) responses to ..