Amazon Auroraの先進性を誰も解説してくれないから解説する - Qiita
TL;DR; Amazon AuroraはIn-Memory DBでもなくDisk-Oriented DBでもなく、In-KVS DBとでも呼ぶべき新地平に立っている。 その斬新さたるやマスターのメインメモリはキャッシュでありながらWrite-BackでもなくWrite-Throughでもないという驚天動地。 ついでに従来のチェックポイント処理も不要になったのでスループットも向上した。 詳細が気になる人はこの記事をチェキ！ Amazon AuroraはAWSの中で利用可能なマネージド(＝運用をAWSが面倒見てくれる)なデータベースサービス。 ユーザーからはただのMySQL、もしくはPostgreSQLとして扱う事ができるのでそれらに依存する既存のアプリケーション資産をそのまま利用する事ができて、落ちたら再起動したりセキュリティパッチをダウンタイムなしで(!?)適用したりなどなどセールストー
深層学習 を 用いた 異常値検知 手法まとめ 〜 (Denosing) AutoEncoder, LSTM, TDA（Topological Data Analysis) + CNN - Qiita
オーソドックス な アプローチ（一般的手法） まず は、以下 が よくまとまっている。 株式会社クロスコンパス・インテリジェンス（2016.10.5）「NVIDIA GPU TECHNOLOGY CONFERENCE JAPAN 2016 Industry Deep Learning」 異常値予測 を 行う アプローチ としては、以下 が 一般的な考え方 の ようだ。 （データ量の多い）正常時のデータ挙動の特徴パターンを学ばせて、 新規データが上記の特徴パターンから乖離している場合を、異常とみなす 上記のアプローチをとる理由 は、「異常発生時のデータ」の取得可能件数 は、「正常時のデータ」 に 比べて、取得できるデータの件数 が 圧倒的に少ない から である。 上記のスライド で 挙げられている AutoEncoderモデル や LSTMモデル を 採用し、 AutoEncoderモデル
Engineering Uncertainty Estimation in Neural Networks for Time Series Prediction at Uber
Data / MLEngineering Uncertainty Estimation in Neural Networks for Time Series Prediction at UberSeptember 6, 2017 / Global Accurate time series forecasting during high variance segments (e.g., holidays and sporting events) is critical for anomaly detection, resource allocation, budget planning, and other related tasks necessary to facilitate optimal Uber user experiences at scale. Forecasting the
Solaris to Linux Migration 2017
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Deep Learning for NLP Best Practices
Deep Learning for NLP Best Practices Neural networks are widely used in NLP, but many details such as task or domain-specific considerations are left to the practitioner. This post collects best practices that are relevant for most tasks in NLP. This post gives an overview of best practices relevant for most tasks in natural language processing. Update July 26, 2017: For additional context, the Ha
GitHub - Tencent/paxosstore: PaxosStore has been deployed in WeChat production for more than two years, providing storage services for the core businesses of WeChat backend. Now PaxosStore is running on thousands of machines, and is able to afford billion
PaxosStore is a distributed-database initially inspired by Google MegaStore. It's the second generation of storage system developed to support current WeChat sevice and applications. PaxosStore has been deployed in WeChat production for more than four years, providing storage services for the core businesses of WeChat backend including user account management, user relationship management (i.e., c
Index 1,600,000,000 Keys with Automata and Rust - Andrew Gallant's Blog
It turns out that finite state machines are useful for things other than expressing computation. Finite state machines can also be used to compactly represent ordered sets or maps of strings that can be searched very quickly. In this article, I will teach you about finite state machines as a data structure for representing ordered sets and maps. This includes introducing an implementation written
Ideas on interpreting machine learning
Inputs activating different neurons in a neural network. (source: Image courtesy of Patrick Hall and the h2o.ai team, used with permission) You’ve probably heard by now that machine learning algorithms can use big data to predict whether a donor will give to a charity, whether an infant in a NICU will develop sepsis, whether a customer will respond to an ad, and on and on. Machine learning can eve
Understanding the backward pass through Batch Normalization Layer
Understanding the backward pass through Batch Normalization Layer At the moment there is a wonderful course running at Standford University, called CS231n - Convolutional Neural Networks for Visual Recognition, held by Andrej Karpathy, Justin Johnson and Fei-Fei Li. Fortunately all the course material is provided for free and all the lectures are recorded and uploaded on Youtube. This class gives
PMem.io
Persistent Memory is RevolutionaryThis site brings the world of Persistent Memory (PMem) to a community of diverse skill levels from beginner to expert across many different job functions – Developers, Infrastructure, DevOps, CTO, and more. Start your journey Join the community What is Persistent Memory?The term persistent memory is used to describe technologies which allow programs to access data
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http://blog.mbrt.it/2017-10-01-demystifying-container-networking/
The World’s First Middle-Out Compression for Time-series Data — Part 1
GitHub - nearai/torchfold: Tools for PyTorch
GitHub - baidu/palo: A fast MPP database for all modern analytics on big data. Powered by Apache Doris(Incubating)
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GitHub - vdumoulin/conv_arithmetic: A technical report on convolution arithmetic in the context of deep learning
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Running TensorFlow (with GPU) on Kubernetes
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GitHub - pmwkaa/sophia: Modern transactional key-value/row storage library.
