An Introduction to Machine Learning and How to Teach Machines to See

Tuesday, May 21, 10:45 AM - 11:50 AM
Summit Track: 
Room 203/204

What is machine learning? How can machines distinguish a cat from a dog in an image? What's the magic behind convolutional neural networks? These are some of the questions we will answer in this introductory talk on machine learning in computer vision. We will introduce machine learning and explore the different types of problems it can solve. We’ll explain the main components of practical machine learning, from data gathering and training to deployment. We’ll then focus on deep learning as an important machine learning technique, and provide an introduction to convolutional neural networks and how they can be used to solve image classification problems. We will also touch on recent advancements in deep learning and how they have revolutionized the entire field of computer vision.


Facundo Parodi

Research and Machine Learning Engineer, Tryolabs

Facundo Parodi is Research and Machine Learning Engineer at Tryolabs, where he builds complex machine learning and computer vision solutions that help companies improve business results. Besides his practical experience in the field, Facundo has an engineering degree in Computer Science and has done extensive research on evolutionary computation and computational intelligence methods. His thesis was on developing artificial players for games using neuroevolutionary techniques. He has co-authored conference publications in optimization and parallel computing.

See you at the Summit! May 20-23 in Santa Clara, California!
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