Synthetic Data: The Diamonds of Machine Learning

Synthetic Data: The Diamonds of Machine Learning

We have all heard the saying, “Diamonds are a girl’s best friend.” This saying was made famous by Marilyn Monroe in the 1953 film...
An Introduction to Feature Selection

An Introduction to Feature Selection

Which features should you use to create a predictive model? This is a difficult question that...
A Gentle Introduction to Markov Chain Monte Carlo for Probability

Markov Chain Monte Carlo -Introduction

Probabilistic inference involves estimating an expected value or density using a probabilistic model. Often, directly inferring...
A Gentle Introduction to Maximum a Posteriori (MAP) for Machine Learning

A Gentle Introduction to Maximum a Posteriori (MAP) for Machine Learning

Density estimation is the problem of estimating the probability distribution for a sample of observations from a problem domain. Typically,...
What Does Stochastic Mean in Machine Learning?

What Does Stochastic Mean in Machine Learning?

Last Updated on November 18, 2019 The behavior and performance of many machine learning algorithms are referred to as stochastic. Stochastic refers...
What’s the Arduino Language and How to Use It for Your Arduino Board

What’s the Arduino Language and How to Use It for Your Arduino Board

Most software enthusiasts try tinkering with hardware at some point. Unfortunately, dissecting big devices like laptops and homeware appliances is...
A Gentle Introduction to Monte Carlo Sampling for Probability

A Gentle Introduction to Monte Carlo Sampling for Probability

Monte Carlo methods are a class of techniques for randomly sampling a probability distribution. There are many problem domains where...
A Gentle Introduction to Information Entropy

A Gentle Introduction to Information Entropy

Information theory is a subfield of mathematics concerned with transmitting data across a noisy channel. A cornerstone of information theory...
A Gentle Introduction to Bayesian Belief Networks

A Gentle Introduction to Bayesian Belief Networks

Probabilistic models can define relationships between variables and be used to calculate probabilities. For example, fully conditional models may require...
14 Different Types of Learning in Machine Learning

14 Different Types of Learning in Machine Learning

Last Updated on November 11, 2019 Machine learning is a large field of study that overlaps with and inherits ideas from...
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