Machine learning provides us an incredible set of tools. If you have a difficult problem at hand, you don’t need to hand craft an algorithm for it. It finds out by itself what is important about the problem and tries to solve it on its own. In this video, you’ll see a number of incredible applications of different machine learning techniques (neural networks, deep learning, convolutional neural networks and more).
Note: the fluid simulation paper is using regression forests, which is a machine learning technique, but not strictly deep learning. There are variants of it that are though (e.g., Deep Neural Decision Forests).
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The paper “Toxicity Prediction using Deep Learning” and “Prediction of human population responses to toxic compounds by a collaborative competition” are available here:
The paper “A Comparison of Algorithms and Humans For Mitosis Detection” is available here:
Kaggle-related things:
The paper “Deep AutoRegressive Networks” is available here:
The furniture completion paper, “Data-driven Structural Priors for Shape Completion” is available here:
Data-driven fluid simulations using regression forests:
Selfies and convolutional neural networks:
Multiagent Cooperation and Competition with Deep Reinforcement Learning:
Kaggle automatic essay scoring contest:
Great talks on Kaggle:
The thumbnail image was created by Barn Images –
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Splash screen/thumbnail design: Felícia Fehér –
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