REFERENZEN

MACHINE LEARNING (ML)

Branche: Elektronik - Unternehmensgröße: <2.400

Projektinhalt:

Design and development of a deep learning based sky/cloud classification system.

Technologien & Methodik:

Keras/Tensorflow, Python, AWS Cloud

Branche: Automotive - Unternehmensgröße: <20.000

Projektinhalt:

Design and implement advanced CNN architectures and models based on a huge number of Images for Shop Floor Control. Evaluate Deep Learning Architectures, Performance Optimization of Deep Learning Models.

Technologien & Methodik:

Image segmentation, Image classification, Anomaly detection, Video Analysis, Tensorflow and Keras with GPU (NVIDIA), Hadoop, GPU, PyCharm

Branche: Retail - Unternehmensgröße: <3.000

Projektinhalt:

Design, implement and optimize complex Machine Learning Systems for Online Marketing / eCommerce.

Technologien & Methodik:

Hive, Spark, Python, Deep Learning, K-Nearest Neighbors (KNN), SVM, Kernel SVM, Logistic Regression

Branche: Medien - Unternehmensgröße: <5.500

Projektinhalt:

Deep-Learning (NLP und Bild-/Videoverarbeitung).

Softwareentwicklung und Beratung für verschiedene Dienste einer Bild-Mining Software, Extractive Text Summarization / Image Captioning, (Human) Action Recognition, Object Detection.

Technologien & Methodik:

Python, TensorFlow, Kerasa, sk-learn, OpenCV, CNN