Big Data Mining & Machine Learning

Category: Big Data Analysis

Plot Function R Example Draw Curve Figure Graph Plotter Statistical Computing with R Math Drawing 2d Plot Function Graph Generator Points Hyperbolic tanh

Big Data Analysis

Plot Function

Plot function refers to the idea of understanding a function better and is very useful to understand certain properties of it especially in the context of various machine learning algorithms that take advantage of...

Sequence Models Sequence Prediction Sequence Classification Sequence Generation Sequence-to-Sequence Prediction Long Short-Term Memory Deep Learning

Big Data Analysis

Sequence Models

Sequence models enable various sequence predictions that are inherent different to other more traditional predictive modeling techniques or supervised learning approaches. In contrast to mathematical sets often used, the ‘sequence‘ model imposes an explicit...

Probability Measure Probability Theory Understanding Uncertainty Dices Cards Coins Marbles Balls Random Draws Trials Bins Multiple Bins Jars Observations

Big Data Analysis

Probability Measure

Probability measure is a measure of how likely a future ‘event’ is when analyzing big data with various models such as in statistical learning theory in general and as an example a Markov Chain...

LSTM Neural Network Long Short Term Memory Model Backpropagation Deep Learning Recurrent Neural Network RNN LSTM Cell Artificial Neural Network Limitations

Big Data Analysis

LSTM Neural Network

LSTM Neural Network refers to a deep neural network learning technique that learn long-term dependencies in data by remembering information for long periods of time when using big data. The so-called Long Short Term...

LSTM Python Long Short Term Memory Model Keras Tensorflow Theano Deep Learning Recurrent Neural Network RNN LSTM Cell Fast Experimentation Prototyping

Big Data Analysis

LSTM Python

LSTM Python means creating simple Long Short Term Memory models using the flexible Python programming language when working with big data. Python is an ideal language for fast scripting and rapid application development that in...

Markov Chain Markov Process Markov Model Markov Chains Monte Carlo Markov Matrix Probability Theory Markov Property Uncertainty Stochastic Model Big Data

Big Data Analysis

Markov Chain

Markov Chain refers to an approach that is based on probability theory using Markov models in order to model randomly changing systems when working with big data. From basic probability theory it is known...

VC Dimension Vladimir Vapnik Alexey Chervonenkis Learning Theory Capacity Complexity Flexibility Expressive Power Classification Model Algorithm Big Data

Big Data Analysis

VC Dimension

VC Dimension stands for Vapnik Chervonenkis (VC) dimension that in turn is a key element in statistical learning theory that is useful to understand when making use of big data with machine learning or...

Data Classification Clustering Regression Predictions Big Data Tips Tools Analysis Analytics Algorithms Techniques Groups Classes Mining Iris Flower Example

Big Data Analysis

Data Classification

Data classification is one of the three key machine learning methods in order to make use of big data. One simple application example is shown below illustrating the classification of a flower type based...

Machine Learning Methods Classification Clustering Regression Predictions Big Data Tips Tools Analysis Analytics Algorithms Techniques Groups Classes Mining

Big Data Analysis

Machine Learning Methods

Machine learning methods can be roughly categorized in three different areas in order to analyse big data. The figure below shows an overview of all the three different areas. Those machine learning methods can...