This document contains a collection of links to examples of data visualization on various topics such as popular baby names, American whaling, user demographics by city and gender, dengue fever maps of Tainan, human vs bot classification, and funny data visualizations. It also includes examples comparing line charts to area charts and discussions around correlation vs causation. Recommended visualization tools mentioned include ggplot2, Plotly, and CartoDB. The document calls for data science talks and shares information about an upcoming data value competition platform in Taiwan.
TensorFlow is an open source neural network library for Python and C++. It defines data flows as graphs with nodes representing operations and edges representing multidimensional data arrays called tensors. It supports supervised learning algorithms like gradient descent to minimize cost functions. TensorFlow automatically computes gradients so the user only needs to define the network structure, cost function, and optimization algorithm. An example shows training various neural network models on the MNIST handwritten digit dataset, achieving up to 99.2% accuracy. TensorFlow can implement other models like recurrent neural networks and is a simple yet powerful framework for neural networks.
大数据知识及技术简介(Introduction to basic concepts and techiques of big data in Chinese)Ye (Julia) Li
This powerpoint does a introduction to basic concepts and techiques of big data. It's target readers are normal people starts to be interested in "Big Data" and data analytics.
This document summarizes Python basics including its features, popularity in different fields and companies, data types, control flow, containers like lists and dictionaries, NumPy for numerical computing, and classes. Python is an interpreted, general-purpose language with rich library support. It is commonly used in computer science, data analysis, biology, and academic communities. Major companies like Google, Dropbox, and Instagram use Python.
The document discusses how logs (LOG) can be used as the basis for many software systems and applications. It describes logs as sequentially recorded events that provide an immutable record of what happened over time. It then gives examples of how databases, version control systems, distributed systems, messaging, and many other areas are based on logs and benefit from their append-only, immutable nature. Logs allow sharing state, reaching consensus, and building deterministic, scalable, and maintainable systems.
Yisou is a team at Creditease, focusing on bigdata technology usage in risk management domain. This PPT describes our products and how we accomplish all these
TensorFlow 是由 Google 所公布的開源機器學習平台,根據 Github 的數據統計,TensorFlow 成為2016年最受關注的十大開源專案之一。此次分享將介紹,如何在 NAS 上整合TensorFlow 及相關 Open source project,以展示幾種相關的資料分析應用。
This document contains a collection of links to examples of data visualization on various topics such as popular baby names, American whaling, user demographics by city and gender, dengue fever maps of Tainan, human vs bot classification, and funny data visualizations. It also includes examples comparing line charts to area charts and discussions around correlation vs causation. Recommended visualization tools mentioned include ggplot2, Plotly, and CartoDB. The document calls for data science talks and shares information about an upcoming data value competition platform in Taiwan.
TensorFlow is an open source neural network library for Python and C++. It defines data flows as graphs with nodes representing operations and edges representing multidimensional data arrays called tensors. It supports supervised learning algorithms like gradient descent to minimize cost functions. TensorFlow automatically computes gradients so the user only needs to define the network structure, cost function, and optimization algorithm. An example shows training various neural network models on the MNIST handwritten digit dataset, achieving up to 99.2% accuracy. TensorFlow can implement other models like recurrent neural networks and is a simple yet powerful framework for neural networks.
大数据知识及技术简介(Introduction to basic concepts and techiques of big data in Chinese)Ye (Julia) Li
This powerpoint does a introduction to basic concepts and techiques of big data. It's target readers are normal people starts to be interested in "Big Data" and data analytics.
This document summarizes Python basics including its features, popularity in different fields and companies, data types, control flow, containers like lists and dictionaries, NumPy for numerical computing, and classes. Python is an interpreted, general-purpose language with rich library support. It is commonly used in computer science, data analysis, biology, and academic communities. Major companies like Google, Dropbox, and Instagram use Python.
The document discusses how logs (LOG) can be used as the basis for many software systems and applications. It describes logs as sequentially recorded events that provide an immutable record of what happened over time. It then gives examples of how databases, version control systems, distributed systems, messaging, and many other areas are based on logs and benefit from their append-only, immutable nature. Logs allow sharing state, reaching consensus, and building deterministic, scalable, and maintainable systems.
Yisou is a team at Creditease, focusing on bigdata technology usage in risk management domain. This PPT describes our products and how we accomplish all these
TensorFlow 是由 Google 所公布的開源機器學習平台,根據 Github 的數據統計,TensorFlow 成為2016年最受關注的十大開源專案之一。此次分享將介紹,如何在 NAS 上整合TensorFlow 及相關 Open source project,以展示幾種相關的資料分析應用。
1. Sitong (Stone) Shen 2001-2016
“Technology is an Art work, IT talents are the Artists.”
Wait and Hope – the companies I experienced from their startups to IPOs
From a tech-view to summarize the profitable biz-model of NASDAQ:SOHU
NASDAQ:SOHU’s Community & e-Commerce Project (2001)
(Part II: ER Diagram)
“Until the day when God will deign to reveal the future to man, all human wisdom
is contained in these two words, 'Wait' and 'Hope'.”
-- Alexandre Dumas, The Count of Monte Cristo (1844)
Version: 1.01
Author: Sitong (Stone) Shen
2001-2016
3. Sitong (Stone) Shen 2001-2016
NASDAQ:SOHU’s Community & e-Commerce Project (2001)
ER Diagram
客户
(costomer)
(user)
商品
(product)
页面组件
(component)
购物车
(cart)
客户反馈
(advice)
分类目录
(catalog)
(navigatepage)
购买加入
结算
填写
客户定单
(order)
n
m
m
n
1
1
1
m
查询
1
m
m
管理
管理
管理员
(administrator)
(member)
管理
导购页面发布
1 m
管理
1
n n
n
m
1
m
管理
m1