Expected Value
Expected value refers to an interesting techniques that is often used in machine learning theory, statistics, probability analysis or during general big data analysis. The idea is to use a probability in order to...
Author: www.big-data.tips
Sensitivity Analysis
Sensitivity analysis refers to an interesting approach aims at identifying the most infl uential parameters for a given output of a mathematical computer model that is often based on big data these days. The key...
MNIST Database
The MNIST database contains a dataset with handwritten digits that are often used with machine learning algorithms or pattern recognition methods. This article step-wise explains how to download and work with the MNIST dataset...
MNIST Dataset
The MNIST dataset consists of handwritten characters that are not directly big data but are well known to be used with machine learning algorithms as a kind of benchmark dataset. It contains 60000 training...
Deep Learning vs Machine Learning
Deep learning vs machine learning is an interesting comparison but quite easy to understand even if both take advantage of big data equally today. Traditional machine learning applied feature engineering before modeling but this...
Deep Learning Applications
Deep learning applications are present in a wide area of business as well as scientific domains and take advantage of big data today. Examples are from the domains of computer vision, automatic speech recognition,...
Graph Database
A graph database is a system with edges and relationships between them that directly relate to big data set elements in the database. Large graphs are a key concern in a wide variety of...
Data Governance
Data governance refers to a consistent and goal-driven handling process of the wide variety of big data across an organization such as a research institution or a business enterprise. A particular governance model includes...
Face Recognition
Face recognition applications are one good example for using machine learning techniques with big data in order to find solutions related to vision, speech recognition, and robotics. The task of recognizing faces can be...
Data Mining Applications
Data mining applications are often using machine learning techniques in order to mine big data. There are a wide variety of commercial application fields such as in retail, in the finance sector, in manufacturing...
