CEA LIST
RIKEN Center
Michelin
Michelin
UTC
Safran Aircraft Engines
CNAM
Braincities
Personne de contact : Dr. Daniel Souza Covacich <daniel.covacich@braincities.co>
Context: In Braincities we are developing different ML algorithms to provide cutting-edge solutions to industries like: HR, fin-tech and blockchain.
Typical Tasks:
- Data Analysis and visualisation
- Research in “Data Augmentation” techniques and Bootstrapping
- Creation and implementation of NLP solutions (i.e. tokenisers, classifiers)
- Non-traditional pattern (image) recognition problems
- Time series prediction using RNN (i.e. LSTM)
Technologies Used:
- OS: Debian-basedLinux.
- Data Analysis: Python (Pandas, Numpy, Scikit-Learn, etc), R
- Machine Learning: TF, Keras, PyTorch
- Visualisation: Jupyter, D3, Chart.js
- Connectivity: Node.js
Workstation: We have a 16core (32 thread) CPU with 4 GeForce RTX 2080 for training/testing our algos.