Understanding StatsD and Graphite
After a short conversation with BryanWB_ on the #logstash channel at Freenode, I realized that I did not know how my data was sent and how it was stored in Graphite. I knew that StatsD collects and aggregates my metrics. And I knew that StatsD ships them off to Graphite. Which I knew stores the time-series data and enables us to render graphs based on these data. What I did not know was if my http
Online Algorithms in High-frequency Trading - ACM Queue
October 7, 2013 Volume 11, issue 8 PDF Online Algorithms in High-frequency Trading The challenges faced by competing HFT algorithms Jacob Loveless, Sasha Stoikov, and Rolf Waeber HFT (high-frequency trading) has emerged as a powerful force in modern financial markets. Only 20 years ago, most of the trading volume occurred in exchanges such as the New York Stock Exchange, where humans dressed in br
Barbarians at the Gateways - ACM Queue
October 16, 2013 Volume 11, issue 8 PDF Barbarians at the Gateways High-frequency Trading and Exchange Technology Jacob Loveless I am a former high-frequency trader. For a few wonderful years I led a group of brilliant engineers and mathematicians, and together we traded in the electronic marketplaces and pushed systems to the edge of their capability. HFT (high-frequency trading) systems operate
The Future of the Database (Infographic) - Innovation Insights
During the first database wars in the early 1980s, it wasn't immediately obvious that the relational database model was superior to existing models. But over time, this model won due the power of SQL programming and ability to simply structure critical business data for back-office automation, e-business, and web-sites. As data growth and transaction loads increased, bigger and more powerful serve
Webの未来 〜 PNaClとasm.jsでカワルミライ - いま、モバイルWebの先端で起こっていること
Webの未来 〜 PNaClとasm.jsでカワルミライ - いま、モバイルWebの先端で起こっていること
玉木先生によるUdemyの講座「ベイズ推定とグラフィカルモデル：コンピュータビジョン基礎1」 | DERiVE コンピュータビジョン ブログ
Tweet オンライン講義サイト「Udemy」に、私もいつもお世話になっている広島大学の玉木先生の講義「「ベイズ推定とグラフィカルモデル：コンピュータビジョン基礎1」が公開されているのでご紹介します。 以下のリンクから、本講義のサイトに飛べます。 「ベイズ推定とグラフィカルモデル：コンピュータビジョン基礎1」 この講義は、教科書「Computer Vision: Models, Learning, and Inference」に沿って、主にベイズ推定モデルと(確率的)グラフィカルモデルによる機械学習パターン認識の手法の基礎~標準を、コンピュータビジョン分野での応用向けにマスターするための講義です。講義名に「基礎１」とついているように、講義の対象受講者は、大学でコンピュータサイエンスを専門とする学生のB4~M1を対象としていると考えていいと思います。もちろん、コンピュータビジョンを学生さんで
Core algorithms deployed
Algorithms that are the main driver behind a system are, in my opinion, easier to find in non-algorithms courses for the same reason theorems with immediate applications are easier to find in applied mathematics rather than pure mathematics courses. It is rare for a practical problem to have the exact structure of the abstract problem in a lecture. To be argumentative, I see no reason why fashiona
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Plugin StatsD
Loading...
Streaming histograms... faster
Database Performance Monitor (DPM) | SolarWinds
GitHub - tdunning/t-digest: A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means