Introduction to Python for Data Science & Deep Learning

This Python course provides a beginner-friendly introduction to Python for Data Science and Deep Learning, and covers various libraries such as Numpy, Pandas, Matplotlib and Tensorflow.

Jun 19, 2021, 3:00 PM – Jun 20, 2021, 5:30 PM

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Key Themes

DataMachine Learning

About this event

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.

Speaker

  • Ata Jodeiri

    University of Tabriz

    Dr.

Moderator

  • Zainab Almeraj

    Kuwait University

    Assistant Professor

Organizers

  • Zainab AlMeraj

    Kuwait University

    GDG Organizer

  • Hafsah ALmuhanna

    Kuwait University

    Organizer

  • Fajer D

    GDG Kuwait Organizer

  • Shaikha Sabti

    EQUATE

    GDG Organizer

  • Eng. Abdulaziz Al-Ahmed

    GDG Organizer

  • - -

    GDG Kuwait Organizer

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