Deep Learning for Recommender Systems | Alexandros Karatzoglou

Deep neural networks are being used in a number of complex machine learning tasks such as computer vision, natural language processing and speech recognition with immense success. Deep Learning has been hailed as the “next big thing” in recommender systems, and we have started to see deep neural networks deliver on their potential for dramatic improvement in Recommendation Systems technology. The aim of the talk is to present the current state-of-the-art collaborative filtering and content-based methods that use deep learning techniques to provide recommendations. Visit the largest developer playground in Europe! https://www.wearedevelopers.com/ Facebook:   / wearedevelopers   Twitter:   / wearedevs   Instagram:   / _wearedevelopers   #WeAreDevs

Architectural Patterns for Rapid, Reliable, Frequent and Sustainable Development | Chris Richardson
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Architectural Patterns for Rapid, Reliable, Frequent and Sustainable Development | Chris Richardson

Training Sand to Think: Artificial General Intelligence & Future of Physics
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Training Sand to Think: Artificial General Intelligence & Future of Physics

RecSys 2016: Paper Session 6 - Deep Neural Networks for YouTube Recommendations
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RecSys 2016: Paper Session 6 - Deep Neural Networks for YouTube Recommendations

Yann LeCun: World Models: Enabling the next AI revolution
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Yann LeCun: World Models: Enabling the next AI revolution

1: Introduction to Neural Networks and Deep Learning; Training Deep NNs
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1: Introduction to Neural Networks and Deep Learning; Training Deep NNs

Gradient descent, how neural networks learn | Deep Learning Chapter 2
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Gradient descent, how neural networks learn | Deep Learning Chapter 2

AlphaFold - The Most Useful Thing AI Has Ever Done
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AlphaFold - The Most Useful Thing AI Has Ever Done

Recurrent Neural Networks for Session-based Recommendations - Alexandros Karatzoglou
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Recurrent Neural Networks for Session-based Recommendations - Alexandros Karatzoglou

This is not the AI we were promised | The Royal Society
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This is not the AI we were promised | The Royal Society

But what is a neural network? | Deep learning chapter 1
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But what is a neural network? | Deep learning chapter 1

Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!
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Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!

Building a Large Music Recommender Leveraging AI, Deep Learning and Human Expertise | Òscar Celma
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Building a Large Music Recommender Leveraging AI, Deep Learning and Human Expertise | Òscar Celma

Yann LeCun's $1B Bet Against LLMs [Part 1]
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Yann LeCun's $1B Bet Against LLMs [Part 1]

Terence Tao: Nobody Understands Why AI Actually Works
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Terence Tao: Nobody Understands Why AI Actually Works

Visualizing transformers and attention | Talk for TNG Big Tech Day '24
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Visualizing transformers and attention | Talk for TNG Big Tech Day '24

What rebuilding AlphaGo teaches us about self-play, RL, and future of LLMs - Eric Jang
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What rebuilding AlphaGo teaches us about self-play, RL, and future of LLMs - Eric Jang

Deep Learning for Personalized Search and Recommender Systems part 1
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Deep Learning for Personalized Search and Recommender Systems part 1

Transformers, the tech behind LLMs | Deep Learning Chapter 5
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Transformers, the tech behind LLMs | Deep Learning Chapter 5

Building Production Recommender Systems - Maciej Kula - WEB2DAY 2017
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Building Production Recommender Systems - Maciej Kula - WEB2DAY 2017