GitHub - apple/turicreate: Turi Create simplifies the development of custom machine learning models.
PdVega: Interactive Vega-Lite Plots for Pandas — pdvega 0.1.0 documentation
PdVega: Interactive Vega-Lite Plots for Pandas¶ pdvega is a library that allows you to quickly create interactive Vega-Lite plots from Pandas dataframes, using an API that is nearly identical to Pandas’ built-in plotting API, and designed for easy use within the Jupyter notebook. import pandas as pd import numpy as np data = pd.DataFrame({'x': np.random.randn(200), 'y': np.random.randn(200)}) impo
Introduction and Motivation
Introduction and Motivation circe (pronounced SUR-see, or KEER-kee in classical Greek, or CHEER-chay in Ecclesiastical Latin) is a JSON library for Scala. Why? Dependencies and modularity circe depends on cats, and the core project has only one dependency (cats-core). Other subprojects bring in dependencies on Jawn (for parsing in the jawn subproject), Shapeless (for automatic codec derivation i
Most testing is ineffective - Hypothesis
Normal “automated” software testing is surprisingly manual. Every scenario the computer runs, someone had to write by hand. Hypothesis can fix this. Hypothesis is a new generation of tools for automating your testing process. It combines human understanding of your problem domain with machine intelligence to improve the quality of your testing process while spending less time writing tests. Don’t
Learning to operate Kubernetes reliably
We recently built a distributed cron job scheduling system on top of Kubernetes, an exciting new platform for container orchestration. Kubernetes is very popular right now and makes a lot of exciting promises: one of the most exciting is that engineers don’t need to know or care what machines their applications run on. Distributed systems are really hard, and managing services on distributed syste
Just-So Stories for AI: Explaining Black Box Predictions
As machine learning techniques become more powerful, humans and companies are offloading more and more ethical decisions to ML models. Which person should get a loan? Where should I direct my time and attention? Algorithms often outperform humans, so we cede our control happily and love the extra time and leverage this gives us. There's lurking danger here. Many of the most successful machine lear
Rob Story - Machine Learning Infrastructure at Stripe: Bridging from Python JVM
Description Machine learning at Stripe has a foundation built on Python and the PyData stack, with scikit-learn and pandas continuing to be core components of an ML pipeline that feeds a production system written in Scala. This talk will cover the ML Infra team’s work to bridge the serialization and scoring gap between Python and the JVM, as well as how ML Engineers ship models to production. Abs
scale.bythebay.io: Oscar Boykin, How to Elm-ify Your ML
Scale By the Bay 2019 is held on November 13-15 in sunny Oakland, California, on the shores of Lake Merritt: https://scale.bythebay.io. Join us! ----- Functional Reactive Programming for Feature Engineering in Machine Learning I will discuss the system we built at Stripe to enable modelers to quickly define complex features and have them for training and also in realtime for scoring.
Stripe: 募集中の職種
当社は大規模に事業を行っていますが、機会の規模に比べると組織の規模はまだ十分ではありません。Stripe の採用情報にご興味のある方は、現在グローバルチームで募集中の職種をご覧ください。
Apache Toree
Apache Toree Toree is an Scala kernel for the Jupyter Notebook platform providing interactive access to Apache Spark. Get Toree 0.4.0-incubating Apache Toree Apache Toree is a kernel for the Jupyter Notebook platform providing interactive access to Apache Spark. It has been developed using the IPython messaging protocol and 0MQ, and despite the protocol’s name, Apache Toree currently exposes the S
Apache Igniteを分散キャッシュに利用したシステム負荷軽減 | CyberAgent Developers Blog
秋葉原ラボ 飯島 賢志 シュティフ ロマン(@rshtykh) はじめに サイバーエージェント内の研究開発組織である秋葉原ラボは、大規模データ基盤の開発・運用に加えて検索・機械学習・データマイニングなどを活用して、弊社の各サービスと様々な形で連携している。今回、Amebaトピックスで使用しているレコメンドAPIに分散キャッシュを導入してシステム負荷を軽減した事例を紹介する。 Amebaトピックス Amebaトピックスでは、Amebaが展開するサービスの中でいまホットなトピックや記事を選定し配信している。誰にどのトピックを表示するかについていくつもの判定や処理が瞬時にされるが、今回の改善で一層速くレスポンスを返すことができるようになった。 図1. Amebaトピックスのブログヘッダへの配信 システム構成 今回、改善対象となったレコメンドAPI周りのシステム構成を以下の図2に示す。一部省略して
SQL to Hive Cheat Sheet
International: 1.408.916.4121 www.hortonworks.com Twitter: twitter.com/hortonworks Facebook:facebook.com/hortonworks We Do Hadoop Contents Cheat Sheet Hive for SQL Users 1 Additional Resources 2 Query, Metadata 3 Current SQL Compatibility, Command Line, Hive Shell If you’re already a SQL user then working with Hadoop may be a little easier than you think, thanks to Apache Hive. Apache Hive is data
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GitHub - vega/schema: JSON schema for Vega and Vega-Lite
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Vega Lite: A Grammar of Interactive Graphics - Wongsuphasawat, Moritz, and Satyanarayan
GitHub - altair-viz/pdvega: Interactive plotting for Pandas using Vega-Lite
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GitHub - microsoft/vegalite-for-powerbi: Sample Vega-Lite Wrapper as a PowerBi Custom Visual
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GitHub - vegas-viz/Vegas: The missing MatPlotLib for Scala + Spark
Vega-Altair: Declarative Visualization in Python — Vega-Altair 5.3.0 documentation
Hi! I’m Kanit “Ham” Wongsuphasawat.
GitHub - snowplow-referer-parser/referer-parser: Library for extracting marketing attribution data from referrer URLs
Caddy - The HTTP/2 Web Server Made for Humans
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