Rôles occupés
Back-end
Miscellaneous
Cloud
Anomaly detection for maintenance and reliability for industry.
Big data libraries, Deployment, Preprocess data, NLP, Machine learning, Neural network, Computer Vision.
Developing and applying supervised machine learning algorithms (DNN, DT, RF, ET, GBR, XGB,…) to enhance picture quality on Philips TV.
Doing online supervised and unsupervised machine learning data science using Jupyter Notebook, PyCharm.
Doing supervised/unsupervised Data Science, Python, Linux, SQL courses.
Dissertation title 'Explorations in Reinforcement Learning: Online Action Selection and Value Function Approximation'.
Dissertation title 'Wavelet Neural Network Approach for Recognition of Arabic Handwritten Characters'.
Dissertation title 'Fundamentals of Phase Locked Loops'.