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01:07:40 Fall 2022 PIN Seminar - Pattanee Winichagoon, PhD Fall 2022 PIN Seminar - Pattanee Winichagoon, PhD	Fall 2022 PIN Seminar - Pattanee Winichagoon, PhD Seminar title: "Insights from leading nutrition research: Experiences in Thailand" study children iron supplementation isotope infants country level nutrition question food words studies breastfeeding hemoglobin prevalence impact end result body From Nidhi Shrestha 1 plays
57:40 Stochastic Networks Conference 2022 - Neil Walton… Stochastic Networks Conference 2022 - Neil Walton Edit	Stochastic Networks Conference 2022 - Neil Walton Edit Zoom Recording ID: 97630276119 UUID: U0km4eAFT/qJV3mJGOGpqw== Meeting Time: 2022-06-22 12:35:35pm kind point things function algorithm probability arm sort thing problem target rewards arms distribution learning queue linear boundary lyapunov result From E. Cornelius 1 plays
59:37 Stochastic Networks Conference 2022 - Alexandre… Stochastic Networks Conference 2022 - Alexandre Proutiere Edit	Stochastic Networks Conference 2022 - Alexandre Proutiere Edit Zoom Recording ID: 97630276119 UUID: U0km4eAFT/qJV3mJGOGpqw== Meeting Time: 2022-06-22 12:35:35pm users algorithm class log regret problem clusters times cluster probability matrix classes kind fact success gap bounds result hat rate From E. Cornelius 5 plays
59:34 12.3.21 Andrew Bennett, Cornell University 12.3.21 Andrew Bennett, Cornell University	12.3.21 Andrew Bennett, Cornell University Zoom Recording ID: 471873857 UUID: 9k4LfuojS7u54l2B6EhMRw== Meeting Time: 2021-12-03T16:59:15Z kind problem function reward evaluation setting action functions outcome methods sir things model lot method observation distribution actions compounding result From Jordan Staiti 13 plays
01:12:45 4.19.21 Rahul Ilango, Massachusetts Institute of… 4.19.21 Rahul Ilango, Massachusetts Institute of Technology	4.19.21 Rahul Ilango, Massachusetts Institute of Technology Zoom Recording ID: 91302741742 UUID: Ht2W2WQITZCkKfaAyhrfqg== Meeting Time: 2021-04-19T19:40:10Z function problem depth complexity question hardness mcs csp kind formula bounds circuit circuits functions fact theory result reduction questions bit From Jordan Staiti 22 plays
01:03:34 ORIE Colloquium: Stefan Wager (Stanford… ORIE Colloquium: Stefan Wager (Stanford University), March 30, 2021	ORIE Colloquium: Stefan Wager (Stanford University), March 30, 2021 “Diffusion Asymptotics for Sequential Experiment” We propose a new diffusion-asymptotic analysis for sequentially randomized experiments. Rather than taking sample size n… kind arm sampling sample distribution thompson limit reward regret thing root diffusion result point lot problem things experiments questions variance From Henry Lam 7 plays
01:09:58 Aaron Wagner CAM Colloquium Talk, February 12,… Aaron Wagner CAM Colloquium Talk, February 12, 2021	Aaron Wagner CAM Colloquium Talk, February 12, 2021 Zoom Recording ID: 95217932087 UUID: 0rKSQScvS6WjdBEMnjEy1g== Meeting Time: 2021-02-12T20:20:35Z feedback channel rate bits problem kind coding thing error dispersion probability channels threshold distribution theorem communication result variance chance length decoder From Erika Fowler-Decatur 6 plays
51:30 Zoom Dec. 8. Coroutines Zoom Dec. 8. Coroutines	Zoom Dec. 8. Coroutines Generators may seem like a weird detour for this late in the course. But in this presentation, we show how they are used in graphics and animation.Generators are a specific example of a concept known… things thing assignment routine elements call alright size yield input function bunch question lot hours generator routines class result fold From Hannah Lee 27 plays
07:17 Lesson 28.6 map and filter Lesson 28.6 map and filter	Lesson 28.6 map and filter In this video we talk about two very famous generators: map and filter. We show how to use these to replace writing code with a for-loop. function accumulator filter loop generator functions elements element pattern result arguments thing piece parameter question things lot object call tutor From Hannah Lee 47 plays
01:15:50 11.3.20 Jesse Goodman, PhD at Cornell University 11.3.20 Jesse Goodman, PhD at Cornell University	11.3.20 Jesse Goodman, PhD at Cornell University Zoom Recording ID: 97470844866 UUID: f1VhPhybRwaIZHAbdQQZdg== Meeting Time: 2020-11-30T21:01:09Z function bounds complexity communication protocol parties forehead question input protocols kind leakage definition model field bit board multiplication thing result From Jordan Staiti 44 plays
04:43 Lesson 19.6 Immutable Dictionary Functions Lesson 19.6 Immutable Dictionary Functions	Lesson 19.6 Immutable Dictionary Functions Since we can loop over dictionaries, that means we probably want to use them in functions with accumulators. In this video we show how to do this and why they are not that much different from lists. grade accumulator dictionary exam function cutoff person maximum grades net ids functions dictionaries keys loop thing result ideas key frame From Hannah Lee 61 plays
08:49 Lesson 18.5 Immutable Table Functions Lesson 18.5 Immutable Table Functions	Lesson 18.5 Immutable Table Functions In this video we show how to write an immutable function on a table of data. In most ways this is no different than writing an immutable function on a list. Except that this time we may need multiple… table row loop rows accumulator columns column loops result function elements functions lists accumulators positions length thing string copy rho From Hannah Lee 71 plays
06:44 Lesson 16.7 For-Loops and Testing Lesson 16.7 For-Loops and Testing	Lesson 16.7 For-Loops and Testing Another control-structure means another video on testing. But if you have following the Rule of Numbers, you will discover that you have enough tests for your for-loop. Instead, as we show in this… test numbers function input procedure copy rule output result tests thing loop cases loops variable statement assignment return equals specification From Hannah Lee 63 plays
11:34 Lesson 16.3 Accumulators Lesson 16.3 Accumulators	Lesson 16.3 Accumulators One of the techniques that we say in the previous video was the accumulator variable. In this video we show that this is a general technique used in a fruitful function that requires a for-loop. accumulator string function variable space character folder element copy lists spaces tutor loop result parameter front letter functions strings thing From Hannah Lee 88 plays
05:32 Lesson 16.2 For-Loop Design Lesson 16.2 For-Loop Design	Lesson 16.2 For-Loop Design In this video we show how to use for-loops in function definitions. In particular, we show that we go from a specification to code that uses a for-loop. loop result element answer function integers int body variable 4x alright pseudocode word practice statement lot integer values ints accumulator From Hannah Lee 85 plays
08:15 Lesson 14.3 Try-Except and the Stack Lesson 14.3 Try-Except and the Stack	Lesson 14.3 Try-Except and the Stack The except-portion of an try-except statement is only executed when there is an error/crash. But, as we have seen, errors can occur anywhere in the call stack. In this video we show how try-except… function call frame error print crash python script statements stack traces flow command infinity tutor result works statement head air From Hannah Lee 60 plays