## 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...

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 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 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 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 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 developmentthat in...

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 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 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 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...

Prerequisites for machine learning are essentially three key elements followed by certain skills in order to get the most out of learning from big data. The first prerequisite is that there must be a...