Spezialisierungsgebiete

Computer Vision

Bei Computer Vision geht es um die Lösung von Aufgabenstellungen, die sich an den Fähigkeiten des menschlichen visuellen Systems orientieren, wie Sichtkontrolle und Objekt- und Strukturerkennung.

Technologie


Cloud API

Google Cloud Vision API
Amazon Rekognition
Microsoft Azure CV API

Tools

SimpleCV
Matlab
CVIPtools
Aforge.net

Libraries

Detectron, openCV,
SOD CV Lib, BoofCV,
scipy, openTL,
TensorFlow

Processing Steps


Pre-processing

openCV
Isomap

High-level Processing

Torch
TensorFlow

Decision Making

SVM
Tree
Decision Trees
Random Forest

Feature Extraction

Fast Marching Method, Scale-invariant Feature Transform,
Ridge Detection, Blob Detection,
Corner Detection, Edge Detection,
Multilinear Subspace Learning,
Independent Component Learning

Detection/Segmentation

Split and Merge Segmentation,
min. Spanning Tree-based Segmentation,
Random Walker, Region-growing,
Expectation Maximization Algorithm,
SOM Self-organizing Map,
LSTM, CNN

Use Cases


Tracking

3D Pose Estimation

Motion Estimation

Automatic Inspection

Visual Maintenance

Detection

Navigation

Natural Language Processing

Natural Language Processing (NLP) versucht, natürliche Sprache zu erfassen und mithilfe von Regeln und Algorithmen computerbasiert zu verarbeiten, so dass mündliche und schriftliche Kommunikation zwischen Mensch und Computer ermöglicht wird.

Technologie


Services

MS Cognitive Service
Google Cloud API
IBM Watson NL-Understanding

Annotation Tools

brat
Anafora
GATE

Libraries

Gate & Apache UIMA, Apache Open NLP,
Apache Lucene & Solu…,
Stanford Core NLP,
Gensim, spaCy, Scikit-learn
NLTK Natural Language Toolkit

Processing Steps


Text Pre-processing

Noise Removal
Stemming
Object Standardization
Lemmatization

Entity Parsing

N-Grams
Topic Modelling
Named Entity Recognition
Phrase Detection

Statistical Features

Readability Features
Frequency/Density Features
TF-IDF

Syntactical Parsing

Part of Speech Tagging
Dependency Grammar

NLP-Algorithmen


Before NN

Naive Bayes
Logistic Regression
bag-of-words
n-grams
HMM

Neural Network

Word2Vec
Glove
LSTM, nLSTM
GRU
1D CNN
RNN

Technics


Question Answering

DrQr
Google Duplex

Sentence & Language Embedment

ELMo
ULMFIT
BERT
PyText

Word Embeddings

Word2Vec
GloVe
fastText

Use Cases


Text Summarization

Document Classification

Machine Translation

Natural Language Genr./Undr.

Optical Chart Recognition

Document to Information

Data De-Duplcation

Genome Analysis

Question Answering

Sentiment Analysis

Automatic Spelling Correction

Time Series

Time Series-Spezialisten entwickeln Algorithmen, die bestehende, zeitlich geordnete Folgen von Beobachtungen einer bestimmten Größe analysieren, um daran Vorhersagen ihrer künftigen Entwicklung zu treffen.

Technologie


Tools

NCSS, Mathematica,
SAS, Statgraphics,
gretl, GNU Octave

Libraries

Spicy, Facebook Prophet,
StatsModels, timeSeries,
bstst, vars,
forecast, Quantmod,
Anomaly Detection

Technics


Analysis

Principal Component Analysis
Quueing Theory Analysis
Correlations
Continuous Wavelet Transform
MA, AR, ARFRIMA, ARIMA
Fourier Spectrum
Correlation
Decomposition

 

Forecasting

TBATS
snaive
ETS
ARIMA

Modelling

Nonlinear Regression
Linear Regression
Fourier Series
ISTM Network

Use Cases


Fraud Detection

Correlation
Decomposition

Customer 360°

Campaign Optimization
Customer Curn
Customer Personalized Offer NBA
Price Optimization
Recommendation
Cross-Selling
Attribution Modelling

Forecasting

Outlet-Article-Forecast
Energy Demand Forecast

Processing Steps


Goal Definition

Data Exploration

Decomposition

Modelling

Prediction

Evaluation

Implementation/Automation