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Christian Seyda

Christian Seyda

Software engineer working on mass data backend challenges. He studied computer sciences with focus on data mining and care to implement applications to support healthy living.

Heidelberg •
5 posts •
Elektronik , Technologie , Raspberry Pi , Künstliche Intelligenz

Teil 3: Elektronik, Plexiglasabdeckung und Fertigstellung des Baumodells

Zuletzt geben wir euch Einblick in die Elektronik unseres Baumodells.

Christian Seyda Christian Seyda
Benjamin Seyda Benjamin Seyda
Technologie , Anwendungsfall , Überwachung Tunnelbeleuchtung , Baumodell

Teil 2: Basis und Tunnel des Baumodells

Und jetzt geht es zur Sache und wir zeigen unsere ersten Schritte, wie die Basis und der Tunnel unseres Baumodells entstanden sind.

Christian Seyda Christian Seyda
Benjamin Seyda Benjamin Seyda
Smart Data , Part III , nutrition , Data Analysis

SMALL DATA - FOOD DATA IMPLEMENTATION

In the first part I rebelled against big data and established principles more important than just data. The second part showed these principles at the example of tracking calories for weight-control. Now, I conclude with the missing parts: audience and an overview of my implementation.

Christian Seyda Christian Seyda
Smart Data , Part II , nutrition , Data Analysis

SMALL DATA - TRACKING FOOD DATA

In my previous post I discussed how valuable small data-sets can be. Now I would like to show it based on the example of a highly personalised food tracking application to control weight, in order to stay healthy and get better results from exercising.

Christian Seyda Christian Seyda
Smart Data , Part I , Statistics , Data Analysis

SMALL DATA - BIG OPPORTUNITIES

We are able to leverage data as never before. However often huge amount of data is not needed to support human based decision making. We show examples for usage of statistical data analysis in heath care.

Christian Seyda Christian Seyda

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