Software Blog

Software Release Notes 4.3

by Reinhard Kaiser

The major improvement to version 4.2 is a totally new Data Matrix (DM) concept...

Read more …

New functionalities in BRAINER with version 4.2

by Daniel Lämmerhofer

In addition to some enhancements due to Deep Learning (see blog Deep Learning in Matlab) the BRAINER also provides further features to make solving machine learning problems more flexible and efficient. These new functionalities allow a number of new use cases...

Read more …

Deep Learning in Matlab

by Daniel Lämmerhofer

Nowadays in context of machine learning and artificial intelligence often the term Deep Learning (DL) is used. The meaning of DL is not clearly defined - however (very) large and deep (neural) networks are mostly hidden behind the buzzword. Accordingly DL is not completely new, but...

Read more …

Release Notes 4.2

by Daniel Lämmerhofer

With version 4.2 the ANDATA tools include i.a. the following new features...

Read more …

Handle loads of data with MATLAB

by Markus Lauterbacher

The proceeding digitalization and integration bears an ever increasing amount of data. Engineers suffer when these treasure troves are getting dusty. Additionally our own, simulation-based data sources produce more and more data...

Read more …

New look & feel of ANDATA tools

by Reinhard Kaiser

Our tools have grown during more than 10 years in practical use. New functions where added over the years, to provide the best and fastest data mining results...

Read more …

About the golden rule of data science not to touch any raw data

by Andreas Kuhn

One of the golden rules in data science says: "Never touch and change any raw data!"

This also stays valid, if data errors have to be compensated. The reasons for that are simple...

Read more …

 

Further details for the software can be requested from support@andata.at.