本スライドは、弊社の梅本により弊社内の技術勉強会で使用されたものです。
近年注目を集めるアーキテクチャーである「Transformer」の解説スライドとなっております。
"Arithmer Seminar" is weekly held, where professionals from within and outside our company give lectures on their respective expertise.
The slides are made by the lecturer from outside our company, and shared here with his/her permission.
Arithmer株式会社は東京大学大学院数理科学研究科発の数学の会社です。私達は現代数学を応用して、様々な分野のソリューションに、新しい高度AIシステムを導入しています。AIをいかに上手に使って仕事を効率化するか、そして人々の役に立つ結果を生み出すのか、それを考えるのが私たちの仕事です。
Arithmer began at the University of Tokyo Graduate School of Mathematical Sciences. Today, our research of modern mathematics and AI systems has the capability of providing solutions when dealing with tough complex issues. At Arithmer we believe it is our job to realize the functions of AI through improving work efficiency and producing more useful results for society.
2019/10/16
初心者向け颁罢贵の奥别产分野の强化法
CTFのweb分野を勉強しているものの本番でなかなか解けないと悩んでいないでしょうか?そんな悩みを持った方を対象に、私の経験からweb分野の強化法を解説します。
How to strengthen the CTF Web field for beginners !!
Although you are studying the CTF web field, are you worried that you can't solve it in production?
For those who have such problems, I will explain how to strengthen the web field based on my experience.
(study group) https://yahoo-osaka.connpass.com/event/149524/
The document provides an introduction and background about the speaker, Kenichi Matsui. It discusses his career experience working for several large companies in software development, communications, and consulting. It then covers some of his current responsibilities related to data analysis and machine learning as a data scientist and group manager. Specific topics covered include an overview of data science skills and roles, machine learning techniques like classification and regression, and data analysis competitions.
本スライドは、弊社の梅本により弊社内の技術勉強会で使用されたものです。
近年注目を集めるアーキテクチャーである「Transformer」の解説スライドとなっております。
"Arithmer Seminar" is weekly held, where professionals from within and outside our company give lectures on their respective expertise.
The slides are made by the lecturer from outside our company, and shared here with his/her permission.
Arithmer株式会社は東京大学大学院数理科学研究科発の数学の会社です。私達は現代数学を応用して、様々な分野のソリューションに、新しい高度AIシステムを導入しています。AIをいかに上手に使って仕事を効率化するか、そして人々の役に立つ結果を生み出すのか、それを考えるのが私たちの仕事です。
Arithmer began at the University of Tokyo Graduate School of Mathematical Sciences. Today, our research of modern mathematics and AI systems has the capability of providing solutions when dealing with tough complex issues. At Arithmer we believe it is our job to realize the functions of AI through improving work efficiency and producing more useful results for society.
2019/10/16
初心者向け颁罢贵の奥别产分野の强化法
CTFのweb分野を勉強しているものの本番でなかなか解けないと悩んでいないでしょうか?そんな悩みを持った方を対象に、私の経験からweb分野の強化法を解説します。
How to strengthen the CTF Web field for beginners !!
Although you are studying the CTF web field, are you worried that you can't solve it in production?
For those who have such problems, I will explain how to strengthen the web field based on my experience.
(study group) https://yahoo-osaka.connpass.com/event/149524/
The document provides an introduction and background about the speaker, Kenichi Matsui. It discusses his career experience working for several large companies in software development, communications, and consulting. It then covers some of his current responsibilities related to data analysis and machine learning as a data scientist and group manager. Specific topics covered include an overview of data science skills and roles, machine learning techniques like classification and regression, and data analysis competitions.
27. 音から音楽へ
Copyright (c) 2011 Ransui Iso, All rights reserved.
28. 楽譜
●
音楽専用プログラミング言語そのもの
Copyright (c) 2011 Ransui Iso, All rights reserved.
29. Music Macro Language
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楽譜をコードに置き換える
t120o4l4cdefedcrefgagfe4
t120o4l4cdefedcrefgagfe4
crcrcrcrl8ccddeeffl4edcr
crcrcrcrl8ccddeeffl4edcr
Copyright (c) 2011 Ransui Iso, All rights reserved.