Computer Scienceの学位を取るために学費無料のオンライン大学UoPeopleに入ってもうすぐ1年 - えんぴつぶろぐ
この記事は社会人学生 Advent Calendar 2020 7日目の記事です。 米国のオンライン大学University of the People（以下、UoPeople）に入って約1年経った振り返り記事となります。 これまでのUoPeople関連の記事はこちら 自分について University of the Peopleとは 動機 入学するには 授業について 卒業までの所要期間 Computer Science専攻はどんなコースが受けられるのか これまでの進捗 これまでにかかった金額 課題がめっちゃ出る どうやって勉強時間を確保しているか よかったところ 学習内容への満足度は高い 英語のライティングスキルは多分あがった 日英両方でインプットするメリット 毎日強制的にアウトプットできる。 GPAのためなら頑張れる よくなかったところ National Accreditationなの
はじめにこの記事は、放送大学の（主に情報コースを中心とする）学生さん向けに、私の履修済み科目の感想と主観的評価を共有して、履修計画の参考にしていただくことを目的に作成しました。下記の記事の通り、2019年-2020年の2年間で情報コースの科目を8割方履修したのでそれなりの網羅性があるかと思います。 （2023年2月追記）その後、選科履修生として履修した他コースの科目や大学院科目などを追加して112科目掲載しています。試験難易度については履修時期によって会場試験・在宅ペーパー試験・在宅Web試験が混在しているので参考程度でお願いします。 タイトルは私が現役生の時に通っていた大学の似たような評価システムから拝借しました。 以下の科目は基本的にナンバリングが低い順に並べています。閉講済みの科目も混じっていますが、記録と後継科目の参考のために残しておきます。あくまで全て（上記の記事にある通り、文系
This is The Entire Computer Science Curriculum in 1000 YouTube Videos
This is The Entire Computer Science Curriculum in 1000 YouTube Videos In this article, we are going to create an entire Computer Science curriculum using only YouTube videos. The Computer Science curriculum is going to cover every skill essential for a Computer Science Engineer that has expertise in Artificial Intelligence and its subfields, like: Machine Learning, Deep Learning, Computer Vision,
はじめに背景僕は北米に住んで4年以上になる。そのうち、3年以上はソフトウェアエンジニアとして北米の現地企業で働いている。ただ、来た当初はスキル不足だったし、後半の2年は大不況でレイオフも経験した。周りでもレイオフの話をよく耳にするし、単純に仕事を見つけるのも時間がかかる。何が言いたいかというと、北米での仕事探しは本当に大変だ、ということだ。 そんな中で気づいたのは、就活に関する情報と対策が成功の鍵を握っているということだ。就活のスキルとソフトウェアエンジニアのスキルは全く別物である。正確に言えば、エンジニアとしてのスキルの上に、さらに別のスキルが要求される。だから、優秀なエンジニアであるだけでは仕事が見つかるとは限らない。逆にいえば、特定の技術スキルがそれほどなくても、技術者としての教養や基礎力を持ち、面接の準備と対策をしっかり行えば、チャンスを掴める確率は大幅に高まる、と感じた。 実際、
お近づきになりたい人向けシリーズです。 いろいろなトピックを詰め込みましたが、「これら全部を知らないといけない」のようなつもりではなく、いろいろなことを知るきっかけになったらいいなという気持ちなので、あまり身構えずにちょっとずつ読んでもらえたらうれしい気がします。 まえがき 予備知識 規格 用語 精度という語について 記法 表現について 有限値の表現について エンコードについて 丸めについて よくある誤差や勘違いの例 0.1 = 1 / 10? 0.1 + 0.2 = 0.3? 整数の誤差 Rump’s Example 基本的な誤差評価 用語に関して 実数の丸め 有理数の丸め 基本演算の丸め 差について 複数回の演算 補題たち 桁落ちについて Re: Rump’s example 融合積和 数学関数に関する式の計算 誤差の削減に関して 総和計算 数学関数の精度について 比較演算について 雑
Join the O'Reilly online learning platform. Get a free trial today and find answers on the fly, or master something new and useful. Learn more Betty Jean Jennings and Frances Bilas (right) program the ENIAC in 1946. Via the Computer History Museum Eventually, interpreted languages, which are much easier to debug, became the norm. BASIC, one of the first of these to hit the big time, was at first s
OpenAIのBatch APIを使ってお得にプロンプトを一括処理してみる - Taste of Tech Topics
はじめに こんにちは。データサイエンスチームYAMALEXのSsk1029Takashiです。 最近はOpenAIに日本支社が出来て、日本語対応が加速するというニュースにわくわくしています。 今回はそんなOpenAIから発表されたBatch APIという機能が便利、かつお得な機能だったのでどのように使えるのか試してみます。 Introducing the Batch API: save costs and get higher rate limits on async tasks (such as summarization, translation, and image classification). Just upload a file of bulk requests, receive results within 24 hours, and get 50% off API pri
達人出版会
知識ゼロからノーコードではじめる Studio Webサイト制作入門 gaz 徹底攻略 データベーススペシャリスト教科書 令和7年度 株式会社わくわくスタディワールド 瀬戸美月 徹底攻略データサイエンティスト検定問題集［リテラシーレベル］対応 第2版 小縣 信也, 斉藤 翔汰, 森田 大樹, 田澤 賢, 小宮 寛季, 野口 敏久, 山田 弦太朗, 安… Proxmox VEサーバー仮想化 導入実践ガイド エンタープライズシステムをOSSベースで構築 青山 尚暉, 海野 航, 大石 大輔, 工藤 真臣, 殿貝 大樹, 野口 敏久 1週間でLPICの基礎が学べる本 第4版 中島 能和 Windowsで作る侵入検知システム 自作IDS/IPSで学ぶ実践セキュリティ dora シリコンに導入されたドーパントの物理 公益社団法人 応用物理学会 半導体分野将来基金委員会 Pythonを使った数値計算入
00:00 - Introduction 01:45 - The Battleship 02:49 - NP-Complete Problems 06:24 - Building SQLite V1 07:54 - Motorola Phones 09:40 - America Online Phones 11:12 - Symbian OS and Nokia 13:01 - The Bus Factor and the Consortium 15:11 - Enter Android 17:05 - Guys, This Is Important 18:18 - Testing and Aviation Standards 21:29 - Billions of Tests 25:30 - Building From First Principles 28:05 - B-Trees a
GitHub - modelcontextprotocol/servers: Model Context Protocol Servers
Official integrations are maintained by companies building production ready MCP servers for their platforms. 21st.dev Magic - Create crafted UI components inspired by the best 21st.dev design engineers. ActionKit by Paragon - Connect to 130+ SaaS integrations (e.g. Slack, Salesforce, Gmail) with Paragon’s ActionKit API. Adfin - The only platform you need to get paid - all payments in one place, in
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探検! Python Flask Robert Picard, 濱野 司(訳) BareMetalで遊ぶ Raspberry Pi 西永俊文 なるほどUnixプロセス ― Rubyで学ぶUnixの基礎 Jesse Storimer, 島田浩二(翻訳), 角谷信太郎(翻訳) 知る、読む、使う！ オープンソースライセンス 可知豊 きつねさんでもわかるLLVM販売終了 柏木餅子, 風薬 孫と一緒にサイエンス｜数って不思議！！…∞ 1+1=2?で始まる数学の世界 蟹江 幸博 数学テクノロジー入門 画像技術を支える数学 岡田 勘三 計算折り紙入門 あたらしい計算幾何学の世界 上原 隆平 角度データのモデリング 清水 邦夫 現場主義統計学のすすめ 野外調査のデータ解析 島谷 健一郎 ロバスト統計 外れ値への対処の仕方 藤澤 洋徳 Excelで学ぶオペレーションズリサーチ 大野 勝久, 逆瀬川 浩孝,
An Interview With Linus Torvalds: Linux and Git - Part 1 30 Years Of Linux
Jeremy founded Tag1 Consulting in 2007. He has been a contributing core Drupal developer since 2002, and helped establish Drupal as a successful CMS through the early popularity of his personal blog, KernelTrap.org. Over the years, he authored and maintained the core statistics module and throttle module, as well as the pager logic and the initial Drupal 5 installer. He continues to contribute to
awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems View the Project on GitHub View On GitHub An updated and organized reading list for illustrating the patterns of scalable, reliable, and performant large-scale systems. Concepts are explained in the articles of prominent engineers and credible references. Case studies are taken from battle-tested systems that serve millions to
The end of classical computer science is coming, and most of us are dinosaurs waiting for the meteor to hit. I came of age in the 1980s, programming personal computers such as the Commodore VIC-20 and Apple ][e at home. Going on to study computer science (CS) in college and ultimately getting a Ph.D. at Berkeley, the bulk of my professional training was rooted in what I will call “classical” CS: p
With pen and paper, anyone can write a journal entry, draw a diagram, perform a calculation, or sketch a cartoon. Digital tablets like the iPad or reMarkable can adapt pen and paper into the world of digital media. In doing so, they trade away some of paper’s advantages like cheapness and tangibility. In exchange, we get new computational powers like nondestructive editing and ease of transmission
The Development of the C Language* Dennis M. Ritchie Bell Labs/Lucent Technologies Murray Hill, NJ 07974 USA dmr@bell-labs.com ABSTRACT The C programming language was devised in the early 1970s as a system implementation language for the nascent Unix operating system. Derived from the typeless language BCPL, it evolved a type structure; created on a tiny machine as a tool to improve a meager progr
Continuous reinvention: A brief history of block storage at AWS
Continuous reinvention: A brief history of block storage at AWSAugust 22, 2024 • 4802 words Marc Olson has been part of the team shaping Elastic Block Store (EBS) for over a decade. In that time, he’s helped to drive the dramatic evolution of EBS from a simple block storage service relying on shared drives to a massive network storage system that delivers over 140 trillion daily operations. In thi
Turing Machines
ALAN M. TURING 23 June 1912 – 7 June 1954 F | | P(T) R P(u) R P(r) R P(i) R P(n) R P(g) R P( ) R P(M) R P(a) R P(c) R P(h) R P(i) R P(n) R P(e) R P(s) R -> B B | | L P( ) L P( ) L P( ) L P( ) L P( ) L P( ) L P( ) L P( ) L P( ) L P( ) L P( ) L P( ) L P( ) L P( ) L P( ) -> F 2024-12-20 Translations: English, Spanish In 1928, David Hilbert, one of the most influential mathematicians of his time, aske
Machine Learning Trends You Need to Know - Gradient Flow
Insights and trends that will help you navigate the AI landscape. By Assaf Araki and Ben Lorica. Automation and democratization are on the rise AutoML tools are designed to automate the process of training and deploying machine learning. Such tools have progressed to the point where they can produce adequate models for many use cases. Moreover, in domains where model hubs and foundation models (e.
In an interview with Evrone, Ryan Dahl speaks about the main challenges in Deno, the future of JavaScript and TypeScript, and tells how he would have changed his approach to Node.js if he could travel back in time. We met with Ryan Dahl, the creator of Node.js, to discuss the origins of the platform, its impact on JavaScript, and his thoughts on its future. In the interview he also reflected on hi
What We Learned from a Year of Building with LLMs (Part I)
It’s an exciting time to build with large language models (LLMs). Over the past year, LLMs have become “good enough” for real-world applications. The pace of improvements in LLMs, coupled with a parade of demos on social media, will fuel an estimated $200B investment in AI by 2025. LLMs are also broadly accessible, allowing everyone, not just ML engineers and scientists, to build intelligence into
The New Internet: Tailscale's Vision for the Future of Connectivity
Avery Pennarun is the CEO and co-founder of Tailscale. A version of this post was originally presented at a company all-hands. We don’t talk a lot in public about the big vision for Tailscale, why we’re really here. Usually I prefer to focus on what exists right now, and what we’re going to do in the next few months. The future can be distracting. But increasingly, I’ve found companies are startin
There are millions of GitHub repos and filtering them is an insane amount of work. It takes a huge time, effort, and a lot more. We have done this for you. In this article, we’ll share a curated list of 100+ widely-known, recommended, and most popular repositories and open source GitHub projects for Machine Learning and Deep Learning. So without further ado, Let’s see all the hubs created by exper
Have you ever wondered if there is a correlation between a computer’s energy consumption and the choice of programming languages? Well, a group of Portuguese university researchers did and set out to quantify it. Their 2017 research paper entitled Energy Efficiency across Programming Languages / How Do Energy, Time, and Memory Relate? may have escaped your attention, as it did ours. Abstract: Thi
This is an upcoming high performance computing book titled “Algorithms for Modern Hardware” by Sergey Slotin. Its intended audience is everyone from performance engineers and practical algorithm researchers to undergraduate computer science students who have just finished an advanced algorithms course and want to learn more practical ways to speed up a program than by going from O(nlogn)O(n \log
TL;DR; We are changing std::sort in LLVM’s libcxx. That’s a long story of what it took us to get there and all possible consequences, bugs you might encounter with examples from open source. We provide some benchmarks, perspective, why we did this in the first place and what it cost us with exciting ideas from Hyrum’s Law to reinforcement learning. All changes went into open source and thus I can
This is a card game for teaching kids how to combine unix commands through pipes. This game assumes the parent knows the basic unix commands: cat, grep, tail, head, wc, sort, uniq. The parent should show also show those commands in action the computer as well, if you do not have any UNIX system you can use jslinux in your browser. Buy now: €5,00 EUR print it yourself: unix-pipe-cards.pdf, unix-pip
Internet Engineering Task Force (IETF) K. Davis Request for Comments: 9562 Cisco Systems Obsoletes: 4122 B. Peabody Category: Standards Track Uncloud ISSN: 2070-1721 P. Leach University of Washington May 2024 Universally Unique IDentifiers (UUIDs) Abstract This specification defines UUIDs (Universally Unique IDentifiers) -- also known as GUIDs (Globally Unique IDentifiers) -- and a Uniform Resou
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? 目次 はじめに 何故出願したか 何故ジョージア工科大学か どうやって準備したか おわりに はじめに 既に先人たちが書かれている記事も多々ありますが、2023年3月にジョージア工科大学のコンピュータサイエンス修士過程に出願して合格しました。8月から授業が始まるので忘れない内に何故出願したのか、どのように出願準備したのかについてまとめようと思います。働きながら米国のコンピュータサイエンス大学院進学を考えている方々の参考になりますと幸いです。 Acceptance Letter ー 合格証 何故大学院に出願したか ジョージア工科大学に出願した
Since this was written, OpenAI has discontinued ChatGPT Plugins and launched custom GPTs. Find more information about the Wolfram GPT here: https://gpt.wolfram.com. In Just Two and a Half Months… Early in January I wrote about the possibility of connecting ChatGPT to Wolfram|Alpha. And today—just two and a half months later—I’m excited to announce that it’s happened! Thanks to some heroic software
Golang Mini Reference 2022: A Quick Guide to the Modern Go Programming Language (REVIEW COPY)
Golang Mini Reference 2022 A Quick Guide to the Modern Go Programming Language (REVIEW COPY) Harry Yoon Version 0.9.0, 2022-08-24 REVIEW COPY This is review copy, not to be shared or distributed to others. Please forward any feedback or comments to the author. • feedback@codingbookspress.com The book is tentatively scheduled to be published on September 14th, 2022. We hope that when the release da
Since our launch of the Mojo programming language on May 2nd, more than 120K+ developers have signed up to use the Mojo Playground and 19K+ developers actively discuss Mojo on Discord and GitHub. Today, we’re excited to announce the next big step in Mojo’s evolution: Mojo is now available for local download – beginning with Linux systems, and adding Mac and Windows in coming releases. While the Mo
If you read the title and thought “well, you were probably just doing something silly beforehand”, you’re right! But what is programming if not an exercise in making silly mistakes? Tracking down silly mistakes is where all the fun is to be had! I’ll also state the usual benchmarking caveat up front: the 1.7x speedup was measured while running the program on my data on my computer, so take that nu
By Robert Smith Simulating a universal, gate-based quantum computer on a classical computer has many uses and benefits. The top benefit is the ability to inspect the amplitudes of the system’s state directly. However, while the mathematics is very well understood, implementing a general-purpose simulator has largely been folk knowledge. In this tutorial, we show how to build an interpreter for a g
Ubie Discovery で機械学習エンジニアをしている @hagino3000 です。医療用AIの歴史および動向をキャッチアップするために調査した内容をまとめました。特に画像を入力として診断支援を行なうAIと比較して、自然言語で表現された自覚症状などを入力とするものを構築する上での課題に焦点をあてています。 Keywords: コンピューター支援診断システム(Computer Aided Diagnosis: CAD), Medical Diagnostic Systems, 症状チェッカー(Symptom Checker), 機械学習(ML), 自然言語処理(NLP) 背景 現在、医療用AIが最も成功を収めている領域は画像診断です。X線・内視鏡・皮膚腫瘍と様々な画像に適用されており、その診断性能が専門医を越えたとの報告もあります ([1], [2])。2018年にはAIが糖尿病網膜
CRDTs go brrr
5000x faster CRDTs: An Adventure in Optimization July 31 2021 A few years ago I was really bothered by an academic paper. Some researchers in France put together a comparison showing lots of ways you could implement realtime collaborative editing (like Google Docs). They implemented lots of algorithms - CRDTs and OT algorithms and stuff. And they benchmarked them all to see how they perform. (Cool
Regexide
Why XML Comments matter XML is a popular format for storing and sharing data. It was explicitly designed for people and programs to read and write data.[1] From spreadsheets to save states, most modern software and games parse and write XML. XML comments are special notes that parsers should not treat as data. XML comments start with <!-- and end with -->. Technically XML comments must not contain
Since I was unable to travel for a couple of years during the pandemic, I decided to take my new-found time and really lean into Rust. After writing over 100k lines of Rust code, I think I am starting to get a feel for the language and like every cranky engineer I have developed opinions and because this is the Internet I’m going to share them. The reason I learned Rust was to flesh out parts of t
See the discussion of this post on Hacker News. My wife and I decided to make an 8-bit, top-down, Zelda-like game written for the PPU466 (from CMU 15-466 Computer Game Programming course). The PPU466 is a graphics API kind of like the PICO-8 fantasy console, in the sense that it’s restricted to 8-bit graphics, 4 colors per tile, fixed backgrounds, and a low number of sprites. As a part of the game
I’ve become convinced that “little languages”—small languages designed to solve very specific problems—are the future of programming, particularly after reading Gabriella Gonzalez’s The end of history for programming and watching Alan Kay’s Programming and Scaling talk. You should go check them out because they’re both excellent, but if you stick around I’ll explain just what I mean by “little lan
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放送大学マイルストーン('23)｜lumpsucker
北米ソフトウェアエンジニアのインタビュー選考ってこんな感じだよ｜Yanmer
浮動小数点型の算術とお近づきになりたい人向けの記事 - えびちゃんの日記
The End of Programming as We Know It
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The End of Programming – Communications of the ACM
Inkbase: Programmable Ink
The Development of the C Language
Interview with Ryan Dahl, Node.js & Deno creator by Evrone
100+ Best GitHub Repositories For Machine Learning
C Is The Greenest Programming Language
Algorithms for Modern Hardware - Algorithmica
Changing std::sort at Google’s Scale and Beyond
The UNIX Pipe Card Game
RFC 9562: Universally Unique IDentifiers (UUIDs)
ジョージア工科大学でコンピュータサイエンスを学び始める話 - Qiita
ChatGPT Gets Its “Wolfram Superpowers”!
Modular: Mojo🔥 - It’s finally here!
Making a Go program run 1.7x faster with a one character change • Harry Marr
A tutorial quantum interpreter in 150 lines of Lisp
臨床診断支援AIの歴史から症状チェッカーの今後を展望する―エキスパートシステムから大規模言語モデルまで
Rust: A Critical Retrospective « bunnie's blog
A* Tricks for Videogame Path Finding | Tim Mastny
Little Languages Are The Future Of Programming