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. More about me: ` https://www.kaggle.com/ripcurl - https://www.linkedin.com/in/naomi-fridman/ - https://github.com/naomifridman My Work 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. • 2018 Data Science Bowl, (Top 11 %) The problem is a segmentation problem of nuclei in divergent microscope images. 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: . Environment: Python, Keras, Theano, Tensorflow, Amazon Cloud Currently developing my TensorFlow abilities. ©

Participating in at 918Kiss APK IOS Online On line casino Malaysia ©