分类目录归档:Class

[open class ] Natural Language processing Video Lectures

original:https://class.coursera.org/nlp/lecture/preview

Video Lectures

Week 1 – Course Introduction

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Week 1 – Basic Text Processing

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Week 1 – Edit Distance

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Week 2 – Language Modeling

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Week 2 – Spelling Correction

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Week 3 – Text Classification

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Week 3 – Sentiment Analysis

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Week 4 – Discriminative classifiers: Maximum Entropy classifiers

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Week 4 – Named entity recognition and Maximum Entropy Sequence Models

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Week 4 – Relation Extraction

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Week 5 – Advanced Maximum Entropy Models

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Week 5 – POS Tagging

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Week 5 – Parsing Introduction

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Week 5 – Instructor Chat

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Week 6 – Probabilistic Parsing

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Week 6 – Lexicalized Parsing

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Week 6 – Dependency Parsing (Optional)

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Week 7 – Information Retrieval

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Week 7 – Ranked Information Retrieval

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[open class ] Download Video Lectures

original:http://www.ml-class.org/course/video/list?mode=download

Download Video Lectures

I. INTRODUCTION
II. LINEAR REGRESSION WITH ONE VARIABLE
III. LINEAR ALGEBRA REVIEW (OPTIONAL)
IV. LINEAR REGRESSION WITH MULTIPLE VARIABLES
V. OCTAVE TUTORIAL
VI. LOGISTIC REGRESSION
VII. REGULARIZATION
VIII. NEURAL NETWORKS: REPRESENTATION
IX. NEURAL NETWORKS: LEARNING
X. ADVICE FOR APPLYING MACHINE LEARNING
XI. MACHINE LEARNING SYSTEM DESIGN
XII. SUPPORT VECTOR MACHINES
XIII. CLUSTERING
XIV. DIMENSIONALITY REDUCTION
XV. ANOMALY DETECTION
XVI. RECOMMENDER SYSTEMS
XVII. LARGE SCALE MACHINE LEARNING
XVIII. APPLICATION EXAMPLE: PHOTO OCR
XIX. CONCLUSION