关于我

• my Rpubs blog
• Deeplearning.ai specialization course notes and code
  • notes for course 1,2,3: neural networks and deep learning, improving deep neural networks, structuring machine learning projects
  • notes for course 4: convolutional neural networks
  • notes for course 5: sequence models
  • Python code
• Stanford, machine learning, Andrew Ng, course notes
  • week 1, 2: linear regression
  • week 3: logistic regression, regularization
  • week 4, 5: neural networks
  • week 6: Machine Learning System Design
  • week 7: SVMs
  • Python code
• Stanford, algorithm specialization, course notes and code
  • course 1: Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Blog

• 2019/05/19 Win10安装Spark
• 2019/05/12 Stanford NLP Ch1 Regular Expressions, Edit Distance
• 2019/05/04 win10 WSL Ubuntu 安装Hadoop Single Node Cluster
• 2018/11/25 报告笔记-推荐系统101
• 2018/04/10 Tips - 2018 Apr
• 2018/03/20 Sequence Models
• 2018/03/15 Convolutional Neural Networks
• 2018/03/07 CS231n-CNN for Visual Recognition-Assignment1
• 2018/02/27 Neural Networks and Deep Learning
• 2018/01/25 Algorithms-Design and Analysis(Stanford) Notes
• 2018/01/19 Python中的取整方式
• 2018/01/01 Searching 搜索算法
• 2018/01/01 Sorting 排序算法
• 2017/11/06 ML - Support Vector Machines
• 2017/11/05 ML - Machine Learning System Design
• 2017/11/04 ML - Neural Networks
• 2017/11/02 ML - Logistic Regression
• 2017/11/01 ML - Linear Regression with Multiple Variables