Deep Learning

Deep Learning at Booking.com: Emrah Tasli, Stas Girkin

Deep learning has been widely influential in academic research and also recently finding its way into the industry. This talk explains how we utilize deep learning techniques at the Booking.com scale and verify the value from the customers through A/B testing. Use cases go beyond image analysis towards solving a variety of regression and classification problems.

Deep learning for time series made easy: Dafne van Kuppevelt

Deep learning is a state of the art method for many tasks, such as image classification and object detection. For researchers that have time series data, but are not an expert on deep learning, the barrier can be high to start using deep learning. They developed mcfly, an open source python library, to help machine learning novices explore the value of deep learning for time series data. In this talk,

What Is Deep Learning?

Deep learning is a machine learning technique that learns features and tasks directly from data. This data can include images, text, or sound. The video uses an example image recognition problem to illustrate how deep learning algorithms learn to classify input images into appropriate categories. Lastly, the video explores the three reasons why deep learning has surged in popularity over the last five years. Learn about the differences between deep

Guardian Angels: Towards AI-assisted Care: Fei-Fei Li

Google Artificial Intelligence (AI) Chief Scientist Professor Fei-Fei Li, Director at Stanford Artificial Intelligence Lab, talked about “Artificial Intelligence in Medicine” and how it could transform the workflow in healthcare and the way we diagnose, treat and prevent disease. I actually feel inadequate to be in this audience. I know very little about medicine. So I’m here to learn and interact with you. My talk title is “Guardian Angels: Towards Artificial Intelligence assisted

Deep Learning and Self-Driving Cars from MIT: Lectures 01-05

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. Lecture 1: Introduction to Deep Learning and Self-Driving Cars *An overview of deep learning methods: Deep Reinforcement Learning, Convolutional Neural Networks, Recurrent Neural Networks *How deep learning can help improve each component

Deep Learning for Self-Driving Cars : Lecture 5

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

Deep Learning for Self-Driving Cars : Lecture 4

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

Deep learning applications and challenges in big data analytics

Big Data Analytics and Deep Learning are two high-focus of data science. Big Data has become important as many organizations both public and private have been collecting massive amounts of domain-specific information, which can contain useful information about problems such as national intelligence, cyber security, fraud detection, marketing, and medical informatics. Companies such as Google and Microsoft are analyzing large volumes of data for business analysis and decisions, impacting existing

Introduction to Deep Learning and Self-Driving Cars from MIT

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

Artificial Intelligence is Eating Our World

Fabian Westerheide’s TEDx Talk dived into the challenges and opportunities of a world in which intelligent machines and humans coexist together. Artificial intelligence is and will be integrated more into vital parts of human life. Not only human jobs will be replaced by machines. Artificial intelligence will also challenge human thinking, art and culture. What comes after is the concept of Superintelligence and Singularity. “I got my first computer in