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4,485 件
並び順
25:26EN
3Blue1Brown· 2018年4月20日A Geometric Proof of the Wallis Product for πRoots of unity, distances on a circle and a careful limit explain an infinite product.MathematicsScience Communication
スライド 8 枚1:14:37EN
Jane Street· 2018年4月5日Adding an Effect System to OCamlLeo White · Jane StreetA prototype brings algebraic effects into OCaml’s type system and explores how to track exceptions, I/O and locally mutable state.Programming LanguagesSoftware engineering開発ワークフローとテスト
スライド 5 枚1:08:43EN
Jane Street· 2018年3月19日Ron Minsky on Types and Why They Matter in SoftwareYaron Minsky · Jane StreetType systems can make programs faster, catch mistakes and guide large refactorings, but their value depends on the language and the work. Ron Minsky explains the trade-offs through practical examples.Programming LanguagesSoftware engineering開発ワークフローとテスト
39:42EN
Google DeepMind· 2018年3月7日Shane Legg on Measuring Machine IntelligenceShane Legg · Google DeepMindA 2010 proposal for defining general intelligence and approximating it through tests across many environments.AI research評価(Evals)Reinforcement Learning+2
スライド 6 枚1:10:18EN
Jane Street· 2018年2月28日Shriram Krishnamurthi on Designing Computing Curricula for Real ClassroomsShriram Krishnamurthi · Brown UniversityThe Bootstrap project treats curriculum design as an engineering problem: start with goals and constraints, then support teachers and measure learning.EducationProgramming LanguagesSoftware engineering
45:48EN
GOTO Conferences· 2018年2月21日Kotlin Multiplatform in 2017: Shared Logic Across TiersDmitry JemerovDmitry Jemerov explains the early expect/actual model, JavaScript integration and native plans.Software engineering
スライド 6 枚1:06:49EN
Jane Street· 2018年1月30日Bryan Cantrill on Finding the Butterfly Behind a Performance HurricaneBryan Cantrill · JoyentSmall defects can produce vast performance failures across layers of abstraction. Bryan Cantrill explains how to investigate them with questions, instrumentation and visualization.オブザーバビリティと信頼性インフラとデプロイSoftware engineering
スライド 8 枚56:12EN
Jane Street· 2018年1月16日Echoes of Fourier: From Sound Waves to Fast ConvolutionChristopher HardinA practical introduction to Fourier transforms, convolution, and the mathematics of placing a recording in real or imagined acoustic spaces.MathematicsSoftware engineering
1:00:38EN
Lex Fridman· 2017年12月6日ポッドキャストThe Race Car and the Rulebook: Chris Gerdes on Automated Vehicle Safetyホスト Lex FridmanA Stanford engineer and former DOT innovation chief explains how autonomous racing, voluntary safety guidance, and data sharing could shape safer self-driving cars.セキュリティと安全性Autonomous Driving安全性とガバナンス+3
スライド 5 枚56:06EN
Jane Street· 2017年12月4日How Jane Street Reviews Code with IronIan Henry · Jane StreetJane Street's internal review tool tracks what each reviewer has actually read, keeps feedback in the code, and enforces review obligations before release.Code review & verificationSoftware engineering開発ワークフローとテスト
スライド 6 枚1:13:25EN
Jane Street· 2017年11月27日Nate Foster: Verifying Programmable Network Data PlanesNate Foster, Yaron Minsky · Cornell UniversityHow p4v applies program verification to packet-processing code, and why its conclusions depend on control-plane assumptions.Programming LanguagesSoftware engineeringCode review & verification
42:07EN
GOTO Conferences· 2017年11月7日Home Automation with Asynchronous MicroservicesFred GeorgeFred George walks through a 2017 experiment with devices, events and small services.Software engineeringインフラとデプロイ
20:33EN
3Blue1Brown· 2017年10月16日Gradient Descent: How a Neural Network LearnsGrant Sanderson, Leisha Lee · 3Blue1BrownA visual introduction to minimizing training cost, and a look at what a digit classifier does and does not learn.Deep LearningMachine LearningMathematics+1
スライド 4 枚18:18EN
3Blue1Brown· 2017年7月21日Hilbert’s Curve: What an Infinite Path Reveals About Finite ImagesA recursive path through pixels leads to a continuous curve that fills a square.MathematicsEducation
1:38:23EN
Jane Street· 2017年7月18日Yudkowsky and Hanson Debate Whether an Intelligence Explosion Would Be LocalEliezer Yudkowsky, Robin HansonA historical debate about self-improving AI, accumulated knowledge, innovation and whether a first mover could gain a decisive lead.AGI(汎用人工知能)AI AlignmentExistential Risk
スライド 5 枚52:51EN
Jane Street· 2017年6月20日Caveat Configurator: When Configuration Becomes CodeDominick LoBraico · Jane StreetDominick LoBraico explains why flexible OCaml plugins created production problems at Jane Street, and how configuration generation and disciplined plugin management address them.Software engineeringProgramming Languages開発ワークフローとテスト
5:38EN
3Blue1Brown· 2017年5月7日Higher-Order Derivatives: Curvature, Acceleration and JerkGrant SandersonA visual introduction to derivatives of derivatives.Mathematics
スライド 5 枚22:19EN
3Blue1Brown· 2017年5月7日Taylor Series: Turning Derivatives Into ApproximationsBuild a cosine approximation, see the quadratic term geometrically, and understand convergence.MathematicsEducation
12:39EN
3Blue1Brown· 2017年5月6日Why Average Height and Average Slope Connect Integrals and Derivatives3Blue1Brown uses the average of sin x to derive an intuitive link between area and the slope of an antiderivative.Mathematics
16:50EN
3Blue1Brown· 2017年4月29日The Derivative and the Paradox of Instantaneous ChangeGrant SandersonA geometric introduction to difference quotients, limits and the derivative of a cubic.Mathematics
スライド 5 枚59:14EN
Jane Street· 2017年3月15日Arjun Guha on Verifying System ConfigurationsArjun Guha · UMass AmherstPuppet manifests can be declarative yet nondeterministic or non-idempotent. A verification tool models resource interactions to find those problems.Software engineeringCode review & verificationProgramming Languages
スライド 6 枚38:17EN
Jane Street· 2017年3月13日How to Build a Reliable Exchange with Deterministic ReplayBrian Nigito · Jane StreetA matching engine, multicast and state-machine replication can turn a high-throughput exchange into a recoverable system. This talk explains the design and its tradeoffs.Software engineeringFintech
スライド 7 枚25:44EN
Jane Street· 2017年3月9日Why Functional Programming Matters at Jane StreetSebastian Funk · Jane StreetA Jane Street developer revisits John Hughes’s classic argument and explains why expressive static types rank highest for trading systems.Programming LanguagesSoftware engineeringCoding Culture
スライド 8 枚28:31EN
Jane Street· 2017年3月9日Incremental: Self-Adjusting Computations in OCamlSebastian Funk · Jane StreetSebastian explains Jane Street’s dynamic dependency graph library and the algorithms behind efficient updates.Programming LanguagesSoftware engineeringDeveloper productivity
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