Introduction to mathematical arguments (background handout for courses requiring proofs) by A mathematical proof is an argument which convinces other people that something is true. Math isn’t a court of law, so a “preponderance of the evidence” or “beyond any reasonable doubt” isn’t good enough. In principle we try to prove things beyond any doubt […]
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COMP3430 / COMP8430 Data wrangling Lecture 17: Record pair classification (1) (Lecturer: ) Lecture outline ● Classifying record pairs ● Threshold-based classification ● Probabilistic classification The record linkage process Classifying record pairs (1) ● The comparison step generates one vector of similarities (also known as weight vector) for each of compared record pair ● The
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University of Toronto, Department of Computer Science CSC 485H/2501H: Computational Linguistics, Fall 2021 Assignment 1 Due date: 23:59 on Friday, October 8, 2021. Late assignments will not be accepted without a valid medical certificate or other documentation of an emergency. This assignment is worth 33% (CSC 485) or 25% (CSC 2501) of your final grade.
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Computational Linguistics CSC 485/2501 Fall 2021 1 1. Introduction to computational linguistics Department of Computer Science, University of Toronto (many slides taken or adapted from others) Reading: Jurafsky & Martin: 1. Bird et al: 1, [2.3, 4]. Copyright © 2021 , and . All rights reserved. Why would a computer need to use natural language?
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COMP3430 / COMP8430 Data wrangling – We will start 5 minutes past the hour: 13:05 AEDT or thereabouts. Interactive lecture Week 10: Admin, Summary of Ontology, Temporal, Spatial (Lecturer: ) Lecture outline ● Administrative matters – Feedback, Assignments, Labs, Exam, Lectures ● Question from Wattle ● Summary of Week 10: Ontologies, Big, Temporal, Spatial Data
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Head of Engineering ● Introduction to Bukalapak Copyright By PowCoder代写 加微信 powcoder ● How do we build a new product @ Bukalapak ● Tech @ Bukalapak ● Future @ Bukalapak ● Career Opportunities Introduction @ Buka Opening Access to a Wider Market Marketplace: Physical Products Product from Product from MSME(C2C) Brand (B2C) Transforming Traditional Stores
ECS 20 — Lecture 10 — Fall 2013 —29 Oct 2013 Phil Rogaway Today: Reminder: MT on Thursday Relations Recall: DEF: With A and B sets, a relation R is subset of A B. o Relations o Functions o Comparing the size of infinite sets R A B Usually we prefer to write
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Today: o Regular expressions Distinguished Lecture after class : ECS 20 — Lecture 9 — Fall 2013 —24 Oct 2013 o Sets of strings (languages) “Some Hash-Based Data Structures and Algorithms Everyone Should Know” Prof. , Harvard Sets of STRINGS (elements of formal language theory) Define and give examples: Alphabet a finite nonempty set (of
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Game playing Chapter 6 Chapter 6 1 ♦ Games ♦ Perfect play – minimax decisions – α–β pruning ♦ Resource limits and approximate evaluation ♦ Games of chance ♦ Games of imperfect information Outline Chapter 6 2 Games vs. search problems “Unpredictable” opponent ⇒ solution is a strategy specifying a move for every possible opponent
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MULT20015 Elements of Quantum Computing Lecture 10 Subject outline Lecture topics (by week) 1 – Introduction to quantum computing and maths basics 2 – Single qubit representations and logic operations 3 – Two qubit states and logic gates 4 – Multi-qubit states and quantum arithmetic 5 – Basic quantum algorithms 6 – Period finding, cryptography
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