In this workshop Dr. Ata will cover the following: Section 1: Data structures, conditional structures, loops and functions Section 2: NUMPY, PANDAS, MATPLOTLIB Section 3: Introduction to Machine/Deep learning SCIKIT Learn, TensorFlow Ata is a Postdoctoral fellow at the University of Tabriz. The subject of his research is to develop Deep Convolutional Networks to estimate the important parameters in THA from radiographs and eliminate the need for CT. Prior to that, he finished my Ph.D. at the University of Tehran in collaboration with the Nara Institute of Science and Technology and Osaka Hospital. His Ph.D. involved primary research with clinicians and patients undergoing Total Hip Arthroplasty and developing Deep Learning architectures for all project-related tasks such as 2D/3D registration, automatic segmentation, and multi-task learning. Also, he completed my Master's degree in the Biomedical Department at the Amirkabir University of Technology, where he worked on blind sparse source separation and gained a distinction.
