Learning Objectives

  • You will understand some of the computer vision and machine learning techniques behind applications Snapchat filter and Facebook facial recognition.

  • Develop your own prototypes to tackle tasks such as:

  • Face detection (e.g. digital cameras),

  • Recognition (e.g. Facebook Photos),

  • Classification (e.g. identifying emotions),

  • Manipulation (e.g. Snapchat filters), and more.

Instructor's Bio: Gabriel Bianconi

Gabriel is the founder of Scalar Research, a full-service artificial intelligence & data science consulting firm. Scalar helps companies tackle complex business challenges with data-driven solutions leveraging cutting-edge machine learning and advanced analytics. Previously, Gabriel was a B.S. & M.S. student in computer science at Stanford, where he conducted research on computer vision, deep learning, and quantum computing. He's also spent time at Google, Facebook, startups, and investment firms.

Who will be interested in this course?

  • This course is for current or aspiring Data Scientists, Computer & Machine Learning Engineers, Deep Learning Engineers, AI Product Managers

  • Knowledge of following tools and concepts is useful:

  • Workings of Deep Learning models. Please refer the "Deep Learning with Tensorflow & PyTorch" course by Dr. Jon Krohn in course library.

  • Some familiarity with Computer Vision concepts

  • Good foundation of mathematics for data science