The Microsoft Azure Machine Learning team just released a new version of the ML Algorithm Cheat Sheet to cover the latest ML algorithm choices. Here is the download link: For a deeper discussion of the different ..
R2D3 just released a great visual to explain Machine Learning to beginners. It is a great way for non-ML people in your ..
Here’s a new book which is receiving a positive reception Machine Learning Projects for .NET Developers Machine Learning ..
Microsoft Azure Machine Learning / Microsoft Project Oxford Cloud-based predictive analytics and publishing of APIs on the cloud. ..
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, ..
Download the Lab document: This lab explores unsupervised learning in Azure Machine Learning and how to deploy a predictive ..
Download the Lab document: This lab explores text analytics and R integration with Azure Machine Learning. It will walk through ..
Even if you have never done machine learning before, you can build and understand how to build a Machine Learning model and solve ..
Case study: Predixion built a healthcare solution based on machine learning for Carolina Health “Predictive analytics ..
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 ..
My girlfriend: Scott, I want to test how much you know about me! Me: No sweat! It’s a piece of cake! My girlfriend: ..
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 ..
Linear Regression with Multiple Variables, also called as ‘Multivariate Linear Regression’, is used when you want to predict ..