Sequential Decision Making in Recommendations | Jaya Kawale

  Рет қаралды 1,770

Towards Data Science

Towards Data Science

Күн бұрын

A talk from the Toronto Machine Learning Summit: torontomachine...
The video is hosted by towardsdatasci...
About the speaker:
Jaya Kawale is a Sr. Research Scientist at Netflix working on problems related to recommendations on the Netflix homepage. Prior to Netflix, she worked with Adobe Research Labs and Yahoo! Research. She did her PhD from the University of Minnesota and her thesis won the 'Explorations in Science through Computation' award presented at SuperComputing'11. She has published several papers at top conferences including NeurIPS, KDD, CIKM, SDM and IJCAI.

Пікірлер
Deep Learning for Recommender Systems (Nick Pentreath)
31:54
Deep Learning for Recommender Systems (Nick Pentreath)
Databricks
Рет қаралды 31 М.
Personalizing Explainable Recommendations with Multi-objective Contextual Bandits
22:24
Personalizing Explainable Recommendations with Multi-objective Contextual Bandits
MLconf
Рет қаралды 16 М.
Каха и дочка
00:28
Каха и дочка
К-Media
Рет қаралды 3,4 МЛН
Леон киллер и Оля Полякова 😹
00:42
Леон киллер и Оля Полякова 😹
Канал Смеха
Рет қаралды 4,7 МЛН
She made herself an ear of corn from his marmalade candies🌽🌽🌽
00:38
She made herself an ear of corn from his marmalade candies🌽🌽🌽
Valja & Maxim Family
Рет қаралды 18 МЛН
黑天使被操控了#short #angel #clown
00:40
黑天使被操控了#short #angel #clown
Super Beauty team
Рет қаралды 61 МЛН
Explain Yourself! Leveraging Language Models for Common Sense Reasoning | Nazneen Rajani
30:54
Explain Yourself! Leveraging Language Models for Common Sense Reasoning | Nazneen Rajani
Towards Data Science
Рет қаралды 1,6 М.
Why Does Diffusion Work Better than Auto-Regression?
20:18
Why Does Diffusion Work Better than Auto-Regression?
Algorithmic Simplicity
Рет қаралды 405 М.
Visualizing transformers and attention | Talk for TNG Big Tech Day '24
57:45
Visualizing transformers and attention | Talk for TNG Big Tech Day '24
Grant Sanderson
Рет қаралды 281 М.
Леонид Парфенов, спецгость Редакции - о Вене и вине, империи и импрессионистах, Намедни и вечности
1:33:29
Леонид Парфенов, спецгость Редакции - о Вене и вине, империи и импрессионистах, Намедни и вечности
Редакция
Рет қаралды 686 М.
Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering
47:27
Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering
Steve Brunton
Рет қаралды 252 М.
Session 2: [BEST PAPER AWARD] Denoising Self-Attentive Sequential Recommendation
14:09
Session 2: [BEST PAPER AWARD] Denoising Self-Attentive Sequential Recommendation
ACM RecSys
Рет қаралды 482
But what is a neural network? | Deep learning chapter 1
18:40
But what is a neural network? | Deep learning chapter 1
3Blue1Brown
Рет қаралды 18 МЛН
Ilya Sutskever: "Sequence to sequence learning with neural networks: what a decade"
24:37
Ilya Sutskever: "Sequence to sequence learning with neural networks: what a decade"
seremot
Рет қаралды 155 М.
Recommender Systems: Basics, Types, and Design Consideration
58:46
Recommender Systems: Basics, Types, and Design Consideration
Data Science Dojo
Рет қаралды 33 М.
Reinforcement Learning: Machine Learning Meets Control Theory
26:03
Reinforcement Learning: Machine Learning Meets Control Theory
Steve Brunton
Рет қаралды 290 М.
Каха и дочка
00:28
Каха и дочка
К-Media
Рет қаралды 3,4 МЛН