COMP3115 Exploratory Data Analysis and Visualization Lecture 4: Data Preprocessing Dr. Why we need data preprocessing What is data preprocessing Copyright By PowCoder代写 加微信 powcoder Structured data preprocessing – Data Clean – Data Transformation Text data (unstructured) preprocessing data – Text documents and Text mining – Tokenization – Stemming – TF-IDF […]
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Lecture 27: Neural networks (1) CS 189 (CDSS offering) 2022/04/04 Today’s lecture Copyright By PowCoder代写 加微信 powcoder Today marks our descent into deep learning: machine learning combined with deep neural network models Your remaining homework assignments will also revolve around deep learning CS 182 is a good course for diving much deeper into deep learning
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COMP5046 Natural Language Processing Lecture 7: Dependency Parsing Dr. Caren Han Semester 1, 2021 School of Computer Science, University of Sydney 0 The course topics What will you learn in this course? Week 1: Introduction to Natural Language Processing (NLP) Week 2: Word Embeddings (Word Vector for Meaning) Week 3: Word Classification with Machine Learning
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COMP5046 Natural Language Processing Lecture 6: Part of Speech Tagging Dr. Caren Han Semester 1, 2021 School of Computer Science, University of Sydney 1 The course topics What will you learn in this course? Week 1: Introduction to Natural Language Processing (NLP) Week 2: Word Embeddings (Word Vector for Meaning) Week 3: Word Classification with
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COMP5046 Natural Language Processing Lecture 4: Word Classification and Machine Learning 2 Dr. Caren Han Semester 1, 2021 School of Computer Science, University of Sydney 0 LECTURE PLAN Lecture 4: Word Classification and Machine Learning 2 1. 2. 3. 4. 5. Machine Learning and NLP: Finish Seq2Seq Learning Seq2Seq Deep Learning 1. RNN (Recurrent Neural
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COMP5046 Natural Language Processing Lecture 11: Advanced NLP: Machine Translation and Transformer Dr. Caren Han Semester 1, 2021 School of Computer Science, University of Sydney 0 LECTURE PLAN Lecture 11: Machine Translation and Transformer 1. Machine Translation 2. Statistical Machine Translation 3. Neural Machine Translation 4. Attention and Transformer for MT 5. The Rise of
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COMP5046 Natural Language Processing Lecture 1: Course Info & Introduction to NLP Dr. Caren Han Semester 1, 2021 School of Computer Science, University of Sydney 0 LECTURE PLAN Lecture 1: Introduction to Natural Language Processing 1. Course Introduction 2. Overview of Natural Language Processing (NLP) 3. Word Meaning and Representation 4. Count-based Word Representation •
COMP5046 Natural Language Processing Lecture 10: Attention and Question Answering (Reading Comprehension) Dr. Caren Han Semester 1, 2021 School of Computer Science, University of Sydney 0 LECTURE PLAN Lecture 10: Attention and Question Answering (Reading Comprehension) 1. Question Answering 2. Knowledge-based Question Answering 3. IR-based Question Answering (Reading Comprehension) 4. Attention 5. Reading Comprehension with
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COMP5046 Natural Language Processing Lecture 12: Pretrained Model Dr. Caren Han Semester 1, 2021 School of Computer Science, University of Sydney 0 LECTURE PLAN Lecture 12: Pretrained Model 1. The Rise of the Pre-trained Model 2. BERT 3. Post BERT 4. Multimodal Pretrained Model 1 The Rise of the Pre-trained Model Pre-training and Transfer Learning
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COMP5046 Natural Language Processing Lecture 2: Word Embeddings and Representation Dr. Caren Han Semester 1, 2021 School of Computer Science, University of Sydney 0 LECTURE PLAN Lecture 2: Word Embeddings and Representation 1. 2. 3. 4. Lab Info Previous Lecture Review 1. Word Meaning and WordNet 2. Count based Word Representation Prediction based Word Representation
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