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Courses

  • Computational Learning (10230)
    • תקציר הקורס:

    Abstract:

    In the framework of the course, a comprehensive foundation will be provided in machine learning techniques. The first part of the course will focus on fundamental learning concepts and supervised learning algorithms. The second part will focus on clustering, and projection to low-dimensional spaces such as Principal Component Analysis (PCA), as well as additional topics like ensemble models, regularization, bootstrap, and an introduction to neural network models.
  • Seminar In Machine Learning (10355)
    • תקציר הקורס:

    Abstract:

    Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead.

    The course will present basic algorithms for supervised and unsupervised machine learning including classification, regression and clustering.

    Students will be assigned to a team working on a chosen ML project from the list distributed at the beginning of the course. The teams will use methods presented in class and do self-research and self-study for more advanced topics. The project will be implemented using R or Python.
  • Machine Learning (65005)
    • תקציר הקורס:

    Abstract:

    The course will present basic algorithms for supervised and

    unsupervised machine learning including classification, regression and clustering
  • Computer Vision (65011)
    • תקציר הקורס:

    Abstract:

    This course will cover methods in image processing and computer vision, with an emphasis on the state¬-of-¬the-¬art techniques currently used in academia and industry.

    Topics will include image filtering, Scene Understanding, Object Detection and Object grouping, Image Synthesis and Image Reconstruction, Representation learning, Images and Language, Multimodal learning, Depth, Motion, Color, Light and Shading estimations

    As part of the course, students will be perform mini-project based on a computer vision application and present it in class
  • Introduction to Deep Learning (65021)
    • תקציר הקורס:

    Abstract:

    During the course, the students will learn advanced methods of machine learning for feature extraction, methods for dimensionality reduction, etc. The first half of the course will be taught by the lecturer, while in the other half of the course the students will present surveys and novel research in the field