【CS224N Summary 1】 Word Vector的前世今生

## 本文将回顾以下几个方面（展示图片等结果均来自于斯坦佛公开课CS224N）： 词向量的前世 - 发展史 WordNet Discrete Symbols - one hot Distributional Semantics 词向量的今生：General的Word2Vec长什么样？ 怎...

Posted by Z on March 9, 2020

Natural Language Processing Projects Summary

Hi, I am Yuji. Here are some projects regarding NLP I have implemented. Always updating :) 1. Commenter-Based Prediction on the Helpfulness of Online Product Reviews code available ...

Posted by Z on December 17, 2019

Basic Machine Learning Models Summary & Implement

SVM SVM详细的原理已经在去年整理在： 【大数据算法课程笔记】Lesson 6/7-SupportVectorMachine Theorem 【大数据算法课程笔记】Lesson 8 - Optimal Condition & Dual SVM 【大数据算法课程笔记】Lesson 9 - SVM & Algorithm (ADMM...

Posted by Z on November 14, 2019

[MLAPP] Chapter 3: Generative Models for Discrete Data

Learning Notes on the book Machine Learning: A Probabilistic Perspective

3.1 Introduction Generative Models aim to model $P(X,y)$ While discriminative Models aim to directly model $P(y|X)$ Applying Bayes rule to a generative classifier of the form: ...

Posted by Z on August 26, 2019

Moments

Posted by Z's Blog on August 22, 2019

[MLAPP] Chapter 2: Probability

Learning Notes on the book Machine Learning: A Probabilistic Perspective

2.1 Introduction What is probability? The first interpretation is called the frequentist interpretation. In this view, probabilities represent long run frequencies of events. Th...

Posted by Z on August 18, 2019

Big Data Algorithm Lesson 1: About Kernel

Why do we use kernel?

最近在旁听复旦大学一门大数据算法课，老师比较侧重于底层优化算法，讲的很细致很有意思，于是在知乎上整理了笔记，由于公式太难重新打了，那么就把链接放在下面吧： 【大数据算法课程笔记】Lesson 1 - Why Kernel 【大数据算法课程笔记】Lesson 2 - Kernel K-means 【大数据算法课程笔记】Lesson 3 - Kernel...

Posted by Z on September 30, 2018

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