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42:07EN
GOTO Conferences· 2017년 11월 7일Home Automation with Asynchronous MicroservicesFred GeorgeFred George walks through a 2017 experiment with devices, events and small services.Software engineering인프라와 배포
20:33EN
3Blue1Brown· 2017년 10월 16일Gradient 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
슬라이드 4장18:18EN
3Blue1Brown· 2017년 7월 21일Hilbert’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· 2017년 7월 18일Yudkowsky 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(범용 인공지능)AI AlignmentExistential Risk
슬라이드 5장52:51EN
Jane Street· 2017년 6월 20일Caveat 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 Languages개발 워크플로와 테스트
5:38EN
3Blue1Brown· 2017년 5월 7일Higher-Order Derivatives: Curvature, Acceleration and JerkGrant SandersonA visual introduction to derivatives of derivatives.Mathematics
슬라이드 5장22:19EN
3Blue1Brown· 2017년 5월 7일Taylor Series: Turning Derivatives Into ApproximationsBuild a cosine approximation, see the quadratic term geometrically, and understand convergence.MathematicsEducation
12:39EN
3Blue1Brown· 2017년 5월 6일Why 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· 2017년 4월 29일The Derivative and the Paradox of Instantaneous ChangeGrant SandersonA geometric introduction to difference quotients, limits and the derivative of a cubic.Mathematics
슬라이드 5장59:14EN
Jane Street· 2017년 3월 15일Arjun 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
슬라이드 6장38:17EN
Jane Street· 2017년 3월 13일How 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
슬라이드 7장25:44EN
Jane Street· 2017년 3월 9일Why 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
슬라이드 8장28:31EN
Jane Street· 2017년 3월 9일Incremental: 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
슬라이드 4장13:58EN
3Blue1Brown· 2016년 11월 25일Solving the Towers of Hanoi by Counting in BinaryKeith SchwarzBinary carries select the disk to move, and a recursive argument explains why the solution uses the fewest possible moves.Mathematics
16:29EN
3Blue1Brown· 2016년 11월 4일Why Topology Matters: An Inscribed Rectangle ArgumentGrant SandersonGrant Sanderson turns pairs of points on a curve into a Möbius strip.Mathematics
1:29:03EN
Lex Fridman· 2016년 9월 27일팟캐스트From Word Vectors to Memory Networks: The Building Blocks of Deep NLP진행자 Lex FridmanRichard Socher explains how word embeddings, recurrent models, GRUs, pointer mixtures, and dynamic memory networks turn language tasks into trainable end-to-end systems.모델과 학습Deep Learning머신러닝 기초+2
13:10EN
3Blue1Brown· 2016년 9월 1일Why Cross-Product Coordinates Match Their GeometryGrant SandersonA linear transformation and duality connect the determinant formula to area and direction.MathematicsEducation
43:16EN
GOTO Conferences· 2016년 8월 29일How Platforms Work: From Deployment to RecoveryCasey WestCasey West outlines six platform capabilities and demonstrates them with Cloud Foundry in 2016.기업과 전략Company Building
30:03EN
Google DeepMind· 2016년 7월 5일Mustafa Suleyman’s 2016 Vision for Technology in Patient CareMustafa Suleyman · DeepMindA historical talk on clinician-led design, kidney-injury alerts, eye-scan research and the need for scrutiny.AI in healthcareAI for sciencePrivacy & data governance+1
슬라이드 3장1:09:24EN
Jane Street· 2016년 4월 5일Yaron Minsky on Effective ML: Writing OCaml for Code ReadersYaron Minsky · Jane StreetPractical lessons from Jane Street on using types, interfaces and abstraction to keep a large OCaml codebase understandable and correct.Programming LanguagesSoftware engineeringCode review & verification+1
16:01EN
3Blue1Brown· 2016년 4월 1일The Brachistochrone: Why the Fastest Descent Is a CycloidGrant Sanderson, Steven StrogatzGrant Sanderson and Steven Strogatz explore Bernoulli’s light analogy and a geometric proof.MathematicsPhysics
슬라이드 3장1:06:39EN
Jane Street· 2016년 3월 31일Why Jane Street Uses OCamlYaron Minsky · Jane StreetA Jane Street talk explains how functional programming and static types support reliable trading software, and examines the costs of choosing a less common language.Programming LanguagesSoftware engineeringDeveloper productivity+1
23:58EN
Jane Street· 2016년 3월 31일Effective ML: Errors, Abstraction and Managing ComplexityYaron Minsky · Jane StreetA Jane Street engineer discusses explicit failure, boilerplate, type-system restraint and the practical role of side effects.Programming LanguagesSoftware engineeringCode review & verification
슬라이드 2장1:04:56EN
Jane Street· 2016년 3월 31일Yaron Minsky on Incremental: From Research Idea to Production LibraryYaron Minsky · Jane StreetA history of the algorithms, memory problems and performance tradeoffs behind Jane Street’s OCaml library for self-adjusting computations.Programming LanguagesSoftware engineeringDeveloper productivity
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