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Lec 12, Apr 24.mp4 duration 51 minutes 22 seconds Lec 12, Apr 24.mp4 Lec 12, Apr 24.mp4	Lec 12, Apr 24.mp4 stock model credit securities asset risk variable variables wealth friend market payoff investment equation function things stuff payoffs parameters parameter From Robert Ferydouni 0 likes 0 plays 0
Lec 10, Apr 22.mp4 duration 51 minutes 35 seconds Lec 10, Apr 22.mp4 Lec 10, Apr 22.mp4	Lec 10, Apr 22.mp4 payoff stock credit model event risk solution portfolio wealth asset pay performance rate things payoffs investor probability bit answer From Robert Ferydouni 0 likes 0 plays 0
#maptimeDavis: Introduction to Spatial Statistics… duration 1 hour 53 minutes #maptimeDavis: Introduction to Spatial Statistics… #maptimeDavis: Introduction to Spatial Statistics in R - 2021-05-04	#maptimeDavis: Introduction to Spatial Statistics in R - 2021-05-04 We often see that values observed in closer spatial proximity are more alike than those from distant locations, and thus the data may not be independent. This can cause problems, and… #maptimedavis spatial statistics r language datalab datalab event datalab workshop model point points observations plot distance locations function color reader thing covariance distribution packages package things field lot predictions workshop From Glenda Gaines 0 likes 1 plays
Lec 9, Apr 19.mp4 duration 49 minutes 57 seconds Lec 9, Apr 19.mp4 Lec 9, Apr 19.mp4	Lec 9, Apr 19.mp4 risk stock return expectation asset factor model investors variance things investor probability event assets credit bit problem question deviation From Robert Ferydouni 0 likes 2 plays 0
Lec 8, Apr 17.mp4 duration 51 minutes 0 seconds Lec 8, Apr 17.mp4 Lec 8, Apr 17.mp4	Lec 8, Apr 17.mp4 credit variables risk stock things wealth model variable investor times return bit decision asset randomness probability solution portfolio constraints From Robert Ferydouni 0 likes 0 plays 0
Lec 7, Apr 15.mp4 duration 50 minutes 45 seconds Lec 7, Apr 15.mp4 Lec 7, Apr 15.mp4	Lec 7, Apr 15.mp4 investor equation times credit investment interest wealth variable risk money expectation variables things period assets model amount stock investors From Robert Ferydouni 0 likes 3 plays 0
Lecture 6, April 12.mp4 duration 50 minutes 33 seconds Lecture 6, April 12.mp4 Lecture 6, April 12.mp4	Lecture 6, April 12.mp4 times probability wealth stock risk expectation investor things market model assets question path tails period thing bit equation rate From Robert Ferydouni 0 likes 3 plays 0
Lecture 5, Apr 10.mp4 duration 51 minutes 40 seconds Lecture 5, Apr 10.mp4 Lecture 5, Apr 10.mp4	Lecture 5, Apr 10.mp4 tails model stock heads omega times periods process things possibilities period future idea stochastic randomness coin decisions power tree space From Robert Ferydouni 0 likes 0 plays 0
Lecture 4, Apr 8.mp4 duration 52 minutes 55 seconds Lecture 4, Apr 8.mp4 Lecture 4, Apr 8.mp4	Lecture 4, Apr 8.mp4 omega tails heads coin bit space words idea thing things variable sample flip period notation stochastic sigma exam probability model From Robert Ferydouni 0 likes 1 plays 0
Lecture 3, Apr 5.mp4 duration 1 hour 3 minutes Lecture 3, Apr 5.mp4 Lecture 3, Apr 5.mp4	Lecture 3, Apr 5.mp4 tails heads probability event coin omega events sigma thing observer flip model point tail class element head function space flips From Robert Ferydouni 0 likes 1 plays 0
Lecture 2, Apr 3.mp4 duration 52 minutes 21 seconds Lecture 2, Apr 3.mp4 Lecture 2, Apr 3.mp4	Lecture 2, Apr 3.mp4 money interest cash bank rate investor flow investment things account amount times viewpoint stream numbers class assumptions model point currency From Robert Ferydouni 0 likes 2 plays 0
Lecture 1, Apr 1 duration 51 minutes 29 seconds Lecture 1, Apr 1 Lecture 1, Apr 1	Lecture 1, Apr 1 class period probability model things finance exam exams formulas optimization bit hour homework zoom concepts interest problems mode participation From Robert Ferydouni 0 likes 4 plays 0
TRUST TREK: NAVIGATING THE AI TRUST MATURITY MAZE duration 54 minutes 35 seconds TRUST TREK: NAVIGATING THE AI TRUST MATURITY MAZE TRUST TREK: NAVIGATING THE AI TRUST MATURITY MAZE	TRUST TREK: NAVIGATING THE AI TRUST MATURITY MAZE Speakers: Reema Hamasha (University of Michigan) - Ariella Hoffman-Peterson (University of Michigan) - Christy Navarro (UC Davis Health Clinical and Translational Science Center)Embark on a… #ai #trustmaturitymodels model maturity tool lot process questions users trustworthiness trust care bit level governance models slide framework ai team things committee From Christy Navarro 0 likes 9 plays 0
Wood & Cross - ACT Online 2024: Reinforcing… duration 29 minutes 6 seconds Wood & Cross - ACT Online 2024: Reinforcing… Wood & Cross - ACT Online 2024: Reinforcing Students' Learning through Metacognition	Wood & Cross - ACT Online 2024: Reinforcing Students' Learning through Metacognition Presentation for Annual Conference on Teaching online 2024. structural equation model metacognition causal sem stp act model intervention differences students growth exam groups assumption slope intercept trajectories variance feedback impact variability coefficients point change unit trajectory From Sydney Wood 0 likes 2 plays 0
AI Speaker Series: ChatGPT, Large Language Models… duration 56 minutes 50 seconds AI Speaker Series: ChatGPT, Large Language Models… AI Speaker Series: ChatGPT, Large Language Models & Their Real-World Applications	AI Speaker Series: ChatGPT, Large Language Models & Their Real-World Applications An interactive discussion on generative AI (genAI) and the real-world applications of large language models, ChatGPT, and other genAI tools, led by the Information Technology Services team in the… chatgpt llms neural networks transformers tokenization coding generative artificial intelligence model lot things thing words models question language word answer text stuff context base tokens prompt journey images questions gpt From Mark Deamer 0 likes 50 plays 0
MATH168L7 duration 41 minutes 30 seconds MATH168L7 MATH168L7	MATH168L7 Travelings Sales Man Problem formulation. edges edge vector cycle model space things equation thing question degree constraint quantity function cardinality tour optimization equations delta From Acadia Larsen 0 likes 2 plays 0