Looking for interesting Deep Learning Projects.Education:
- MS.c Applied Mathematics Technion Haifa.
- BS.c Computer science, TLV university.
- BS.c Mathematics, Philosophy , TLV university.
` https://www.kaggle.com/ripcurl - https://www.linkedin.com/in/naomi-fridman/ - https://github.com/naomifridman
2015 - NOW ASSISTANT RESERCHER, SHEBA TEL HASHOMER Deep learning to detect and predict cancer evolvement from sequential MRI images. Since labeling MRI data requires excessive resources, I participated in 2 data since: Competitions that offer high quality, aurally labeled divers medical data: • Multimodal Brain Tumor Segmentation Challenge 2017. The problem is a segmentation of 4 levels of cancer in MRI images. Data and Results samples added below. https://www.med.upenn.edu/sbia/brats2017/data.html • 2018 Data Science Bowl, (Top 11 %) The problem is a segmentation problem of nuclei in divergent microscope images. https://www.kaggle.com/c/data-science-bowl-2018 Environment: Python, Keras, Theano, Nvidia GPU.
FREELANCE PROJECT Churn prediction project for a big media company. The project included modeling and engineering of large amount of usage data, and Budding prediction models to identity the churn population. Project code: https://github.com/naomifridman/Deep-VAE-prediction-of-churn-customer. Environment: Python, Keras, Theano, Tensorflow, Amazon Cloud Currently developing my TensorFlow abilities.
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