PPT-CS 124/LINGUIST 180
Author : lois-ondreau | Published Date : 2016-09-03
From Languages to Information Conversational Agents Dan Jurafsky Stanford University Conversational Agents AKA Dialog Agents Phonebased Personal Assistants SIRI
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CS 124/LINGUIST 180: Transcript
From Languages to Information Conversational Agents Dan Jurafsky Stanford University Conversational Agents AKA Dialog Agents Phonebased Personal Assistants SIRI Cortana Google Now. 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 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. Assembly Language and . Arduino. Behind the C code (or sketch). C provides a somewhat human-readable interface. but it gets . compiled. into machine instruction set. ultimately just binary (or hex) instructions loaded into the . Assembly Language and . Arduino. Adapted from T. Murphy’s slides. Behind the C code (or sketch). C provides a somewhat human-readable interface. but it gets . compiled. into machine instruction set. Languages . to Information. Dan Jurafsky. Stanford University. Recommender Systems & Collaborative Filtering. Slides adapted from Jure . Leskovec. Recommender Systems. Customer X. Buys CD of Mozart. 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. 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. . 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 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. . POSSIBLE SIDE EFFECTS- swelling of the face, lips, tongue or throat, flushing, chest tightness and difficulty breathing, as these - headache- drowsiness- feeling sick (nausea)- dizziness.- tired 286Hong Kong 27 1530 3348 89101 106118 124137 179193 197211 276 278 281Human rights 1 6 137 161174 241243 247 265IIdentities 3 33 52 93 106 124 143 162 198 236 256 276Immigrants 3 6 35 98 106 126 161 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.
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