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Deep learning Fastai Aws practice

By anribras

2018-05-18

  • start aws p2.xlarge instance
    • run jupyter notebook
    • kaggle cmd
    • upload ipynb
    • aws 关闭与重启
    • 7.3 更新

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Tech
deep-learning fastai
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Deep learning Fastai Lesson1 Image classifier

By anribras

2018-05-15

  • data 的组织形式
  • Precompute and freeze
  • Choosing a start learning rate
  • Stochastic gradient descent with restarts.(SGDR)
    • Data augmentation
    • Test time augmentation(TTA)
    • Differential learning rate annealing
    • Analyzing results with confusion matrix
    • To sumerise

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Tech
fastai deep-learning
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Machine learning Sklearn Qcut and cut

By anribras

2018-05-14

直接上 jupyter-notebook 地址好了: 点击查看

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Tech
deep-learning
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Deep learning Lihongyi ppt

By anribras

2018-05-14

  • softmax
  • dropout
  • mini-batch
  • gradient vanish
  • Relu 激活函数
  • Maxout
  • learning rate
  • Weight Decay
  • DNN

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Tech
deep-learning
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Machine learning Phote ocr

By anribras

2018-05-13

  • 人工数据合成
  • pipeline
  • Summary

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Tech
machine-learning
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Machine learning Radient descent for large data set

By anribras

2018-05-09

  • 批量梯度下降
  • 随机梯度下降
  • mini 批量下降
  • 如何确保收敛和确定学习速率
  • online learning
  • mapreduce 和并行计算

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Tech
machine-learning
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统计学习方法 提升方法

By anribras

2018-05-03

  • bagging 与 boosting

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Books
machine-learning
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Machine learning Recommender system

By anribras

2018-05-02

  • 数学补课
    • 矩阵的秩,低秩矩阵
  • 推荐系统
    • 基于内容的电影推荐
    • 协同过滤
  • 协同过滤算法
  • 低秩矩阵分解
  • 作业

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Tech
machine-learning
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Machine learning Anmonly detection

By anribras

2018-04-30

  • 数学补充
    • 随机变量
    • 大数定理
    • 中心极限定理
    • 两者的区别理解
    • 相关应用
  • 异常检测算法
    • 假设数据集合的特征之间独立,且每个特征服从一元高斯分布.
    • 假设数据集合特征间不独立,但是整体符合多元高斯分布

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Tech
machine-learning
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Machine learning Unsupervising learning intro

By anribras

2018-04-27

  • k-means
    • 流程
    • 技巧
  • demensionality reduction(维度约减)
    • PCA 主成分分析
    • PCA 使用注意
    • 数据可视化 data visiualazation
  • 一些数学知识补充

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Tech
machine-learning
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Machine learning Large margin classification

By anribras

2018-04-25

  • 和常规 SVM 理解不同
  • kernel
  • 参数选择
  • K 分类 SVM
  • 如何选择 ls 和 svm 算法
  • 垃圾邮件分类的特征工程

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Tech
machine-learning
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Machine learning 云端搭建jupyter notebook

By anribras

2018-04-23

  • 流程

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Tech
deep-learning
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Machine learning Decide what to do next

By anribras

2018-04-16

  • 引言
  • 交叉验证
  • bias and variance 评价不同模型
  • what you should do next?
  • ex5 的作业
  • 误差分析
  • 偏斜类
  • 最后的例子

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Tech
machine-learning
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Machine learning Netrual network intuitial

By anribras

2018-04-12

  • Nenrual network
  • 预测函数
  • 算法求解

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Tech
machine-learning
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Machine learning Under fit and over fit

By anribras

2018-04-11

  • 基本概念
  • 回归问题的正则化
  • 线性的理解

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Tech
machine-learning
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Machine learning Logistic regregssion

By anribras

2018-04-10

  • 基本理解
  • 预测函数
  • 代价函数
  • 梯度下降法求解
  • 优化方法求解
  • 多元线性回归
  • 多元的例子

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Tech
machine-learning
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Machine learning Start ng coursera

By anribras

2018-03-25

  • 一点感想

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Tech
machine-learning
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Machine learning 决策数算法实现心得

By anribras

2018-03-23

  • 前言
  • 决策树
    • kaggle 的 titannic data

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Tech
machine-learning
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统计学习方法 隐形马尔科夫模型 Ch10

By anribras

2018-03-20

  • 模型
    • 模型参数
    • 假设
  • 求解问题
    • 观测概率计算
    • 预测状态序列
    • 模型估计

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Books
machine-learning
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统计学习方法 Lr与最大熵模型 Ch6

By anribras

2018-03-16

  • 数学补课
  • 算法核心

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Books
machine-learning
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