第45回 データマイニング+WEB @東京 ( #TokyoWebmining 45th ) - オープンデータ 最前線と未来 祭り -の発表資料です http://www.eventbrite.com/e/45-web-tokyowebmining-45th--tickets-16532655618Read less
Food Prices for NutritionFood Prices for Nutrition Prevalence of unaffordability of a healthy diet remain high in lower-income countries after pandemic peak. 2023 Atlas of Sustainable Development GoalsJun 26, 2023 RECENTLY UPDATED DATASETSMozambique - eVoucher and Farmer Field School Impact Evaluation 2021Aug 08, 2024Monthly food price inflation estimates by countryAug 08, 2024Monthly food price e
先日、自然言語処理の講演などをしていたときに、そもそも私なんかが話すよりも公開されているチュートリアルスライドを集めたほうが有用なんではないかと思い立って、これから自然言語処理を学びたい人や、ちょっと新しい分野を知りたい人向けに、日本語で読めるチュートリアルスライドを分野別にまとめてみました。 主に、学会のチュートリアルや招待講演、それから研究者の方のWebページなどを参照しながら作りました。 自然言語処理全般系の資料や、少し境界的なテーマは入っていません。 また、ぱっと読めるスライドだけにしています。 幾つか手前味噌な資料も載せてます・・。 頑張って集めてみましたが、思ったほど集まりませんでした。 作っていてわかったのですが、意外とスライドを公開している人は少ないようです。 埋もれてしまうのはもったいないですね。 いずれ、英語で読めるスライドを集めてみようと思います。 そっちはそっちで、
Aaron Maxwell is author of Powerful Python. Exceptions happen. And as developers, we simply have to deal with them. Even when writing software to help us find burritos. Wait, I’m getting ahead of myself… we’ll come back to that. As I was saying: How we deal with exceptions depends on the language. And for software operating at scale, logging is one of the most powerful, valuable tools we have for
ConvNetJS Deep Q Learning Demo Description This demo follows the description of the Deep Q Learning algorithm described in Playing Atari with Deep Reinforcement Learning, a paper from NIPS 2013 Deep Learning Workshop from DeepMind. The paper is a nice demo of a fairly standard (model-free) Reinforcement Learning algorithm (Q Learning) learning to play Atari games. In this demo, instead of Atari ga
Recurrent neural network playing slime volleyball. Can you beat them? I remember playing this game called slime volleyball, back in the day when Java applets were still popular. Although the game had somewhat dodgy physics, people like me were hooked to its simplicity and spent countless hours at night playing the game in the dorm rather than getting any actual work done. As I can’t find any ver
We introduce a neural network with a recurrent attention model over a possibly large external memory. The architecture is a form of Memory Network (Weston et al., 2015) but unlike the model in that work, it is trained end-to-end, and hence requires significantly less supervision during training, making it more generally applicable in realistic settings. It can also be seen as an extension of RNNse
If you are looking for some of the most influential research papers that revolutionised the way how we… If you are looking for some of the most influential research papers that revolutionised the way how we gather, aggregate, analyze and store increasing volumes of data in a short span of 10 years, you are in the right place! These papers were shortlisted, based on recommendations by big data enth
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