PPT-CS 124/LINGUIST 180 From Languages to Information

Dan Jurafsky Stanford University Logistic Regression Logistic Regression Important analytic tool in natural and social sciences Baseline supervised machine learning tool for classification Is also the foundation of a neural network. References http://bjp.rcpsych.org/content/180/2/174#BIBL permissionsReprints/ permissions@rcpsych.ac.ukwrite to to this article atYou can respond /letters/submit/bjprcpsych;180/2/174 from Downloaded x-raster()ကxclass:RasterLayerdimensions:180,360,64800(nrow,ncol,ncell)resolution:1,1(x,y)extent:-180,180,-90,90(xmin,xmax,ymin,ymax)coord.ref.:+proj=longlat+datum=WGS84+ellps=WGS84+towgs84=0,0 Sensors. (bit incomplete. , still). Sensing Categories. Voltage. starting easy: analog in. Distance. acoustic or light. Speed. hard; usu. via distance. Acceleration. accelerometers. Light Level. phototransistors, photodiodes. Eric Brenner. Paul Carpenter. Daniel Ehrenberg. Aaron McCarty. Travis Raines. Advised by Jeff . Ondich. Defining the Problem. What is optical character recognition (OCR)?. Input: an image of some text. b(.+!(&0!.-2!&-,1%.0)4!($$)%0*!%.!'-#$(&(1%30!$+4'8-)-:46!Y-&!0E(#$)09!0E$0&%#0.1()!(++%+1(.1+!(&0!-/10.!50$1!D)%.*!(D-,1!'&,'%()!(+$0'1+!-/!180!0E$0&%#0.1!1-!$&030.1!180#!/&-#!%.(*30&10.1)4!+%:.())%. From Languages . to Information. Conversational Agents. Dan Jurafsky. Stanford University. Conversational Agents . AKA Dialog Agents. Phone-based Personal Assistants . . SIRI, Cortana, Google Now. Moving from a Standard to Practical Application. Don Langston, President & CEO of Aire Rite Air Conditioning & Refrigeration Inc.. March 12. th. , 2016. 1. What We . W. ill Cover Today?. O. verview of the development, purpose and design of Maintenance Standard 180. CS 124/LINGUIST 180 From Languages to Information Dan Jurafsky Stanford University Recommender Systems & Collaborative Filtering Slides adapted from Jure Leskovec Recommender Systems Customer X Languages . to Information. Dan Jurafsky. Stanford University. Recommender Systems & Collaborative Filtering. Slides adapted from Jure . Leskovec. Recommender Systems. Customer X. Buys CD of Mozart. Unix for Poets . Dan Jurafsky. (original by Ken Church, modifications by me and Chris Manning). Stanford University . Unix for Poets. Text is everywhere. The Web. Dictionaries, corpora, email, etc. . Dan Jurafsky. Stanford University . Social Networks: Small Worlds, Weak Ties, and Power Laws. Slides from Jure . Leskovec. , . Lada. . Adamic. , James . Moody, Bing Liu, . Networks. I. nformation in networks, not just text!. LANGUAGE IN EDUCATION THEORY AND PRACTICELinguist in Speech PathologyWalt Wolframhed byApplied Linguisticsarec byearinghouse on Lauguages and LinguisticsBN87281-078-X78fight Q 1978Center for Applied L Provide second grade teachers and parents with 180 daily practice activities to build and gauge students\' reading comprehension and word study skills, writing proficiency, and mathematical fluency. Great for after school programs, intervention programs, or even as a workbook used at home, students will gain regular practice through these quick, yet rigorous activities. Choose from a variety of fiction and nonfiction passages included in 180 Days of Reading, theme-based units that help guide students through the five steps of the writing process with 180 Days of Writing, mathematics activities tied to specific mathematical concepts in 180 Days of mathematics, and much more! Analog Handling. Once the microcontroller is managed, it’s often the analog end that rears its head. getting adequate current/drive. signal conditioning. noise/glitch avoidance. debounce. is one example.