最新章節
- Summary
- An introduction to Apache Spark
- An introduction to the distributed file system
- Platform for data processing
- Chapter 15. Understanding Data Processing using Apache Spark
- Summary
品牌：中圖公司
上架時間：2021-07-08 09:33:42
出版社：Packt Publishing
本書數字版權由中圖公司提供，并由其授權上海閱文信息技術有限公司制作發行
- Summary 更新時間：2021-07-08 11:21:57
- An introduction to Apache Spark
- An introduction to the distributed file system
- Platform for data processing
- Chapter 15. Understanding Data Processing using Apache Spark
- Summary
- Sharing your Notebook
- Getting started with pandas
- Introduction to image processing with PIL
- Getting started with IPython notebook
- Getting started with Wakari
- Chapter 14. Online Data Analysis with Jupyter and Wakari
- Summary
- Counting the most common words in tweets
- Grouping and aggregation
- Filtering the input collection
- Using MapReduce with MongoDB
- Programming model
- An overview of MapReduce
- Chapter 13. Working with MapReduce
- Summary
- Aggregation framework
- Group
- Data preparation
- Getting started with MongoDB
- Chapter 12. Data Processing and Aggregation with MongoDB
- Summary
- Getting started with Twython
- Using OAuth to access Twitter API
- The anatomy of Twitter data
- Chapter 11. Working with Twitter Data
- Summary
- Graph visualization with D3.js
- Transforming GDF to JSON
- Degree distribution
- Statistical analysis
- Working with graphs using Gephi
- Acquiring the Facebook graph
- Social networks analysis
- Structure of a graph
- Chapter 10. Working with Social Graphs
- Summary
- Simulation of the SIRS model in CA with D3.js
- Modeling with Cellular Automaton
- The epidemic models
- Introduction to epidemiology
- Chapter 9. Modeling Infectious Diseases with Cellular Automata
- Summary
- Getting started with SVM
- Dimensionality reduction
- Understanding the multivariate dataset
- Chapter 8. Working with Support Vector Machines
- Summary
- Nonlinear regressions
- The data - historical gold prices
- Lineal regression
- Smoothing time series
- Working with time series data
- Chapter 7. Predicting Gold Prices
- Summary
- Quantitative analyst
- Implementation in D3js
- Generating random numbers
- Monte Carlo methods
- Random Walk simulation
- Financial time series
- Chapter 6. Simulation of Stock Prices
- Summary
- Analyzing the results
- Implementing DTW
- Processing the image dataset
- Dynamic time warping
- Image similarity search
- Chapter 5. Similarity-Based Image Retrieval
- Summary
- Classifier accuracy
- The algorithm
- The data
- E-mail subject line tester
- Bayesian classification
- Learning and classification
- Chapter 4. Text Classification
- Summary
- An overview of visual analytics
- Data from social networks
- Interaction and animation
- Getting started with D3.js
- Visualizing different types of data
- The visualization life cycle
- Visualization in art
- Exploring scientific visualization
- Working with web-based visualization
- What is visualization?
- Chapter 3. Getting to Grips with Visualization
- Summary
- Getting started with OpenRefine
- Data reduction methods
- Data formats
- Data scrubbing
- Data sources
- Chapter 2. Preprocessing Data
- Summary
- Tools and toys for this book
- Quantified self
- What about big data?
- Importance of data visualization
- Quantitative versus qualitative data analysis
- The data analysis process
- Data information and knowledge
- Knowledge domain
- Mathematics
- Statistics
- Machine learning
- Artificial intelligence
- Computer science
- Chapter 1. Getting Started
- Customer support
- Reader feedback
- Conventions
- Who this book is for
- What you need for this book
- What this book covers
- Preface
- eBooks discount offers and more
- www.PacktPub.com
- About the Reviewers
- About the Authors
- Credits
- 版權頁
- 封面
- 封面
- 版權頁
- Credits
- About the Authors
- About the Reviewers
- www.PacktPub.com
- eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Getting Started
- Computer science
- Artificial intelligence
- Machine learning
- Statistics
- Mathematics
- Knowledge domain
- Data information and knowledge
- The data analysis process
- Quantitative versus qualitative data analysis
- Importance of data visualization
- What about big data?
- Quantified self
- Tools and toys for this book
- Summary
- Chapter 2. Preprocessing Data
- Data sources
- Data scrubbing
- Data formats
- Data reduction methods
- Getting started with OpenRefine
- Summary
- Chapter 3. Getting to Grips with Visualization
- What is visualization?
- Working with web-based visualization
- Exploring scientific visualization
- Visualization in art
- The visualization life cycle
- Visualizing different types of data
- Getting started with D3.js
- Interaction and animation
- Data from social networks
- An overview of visual analytics
- Summary
- Chapter 4. Text Classification
- Learning and classification
- Bayesian classification
- E-mail subject line tester
- The data
- The algorithm
- Classifier accuracy
- Summary
- Chapter 5. Similarity-Based Image Retrieval
- Image similarity search
- Dynamic time warping
- Processing the image dataset
- Implementing DTW
- Analyzing the results
- Summary
- Chapter 6. Simulation of Stock Prices
- Financial time series
- Random Walk simulation
- Monte Carlo methods
- Generating random numbers
- Implementation in D3js
- Quantitative analyst
- Summary
- Chapter 7. Predicting Gold Prices
- Working with time series data
- Smoothing time series
- Lineal regression
- The data - historical gold prices
- Nonlinear regressions
- Summary
- Chapter 8. Working with Support Vector Machines
- Understanding the multivariate dataset
- Dimensionality reduction
- Getting started with SVM
- Summary
- Chapter 9. Modeling Infectious Diseases with Cellular Automata
- Introduction to epidemiology
- The epidemic models
- Modeling with Cellular Automaton
- Simulation of the SIRS model in CA with D3.js
- Summary
- Chapter 10. Working with Social Graphs
- Structure of a graph
- Social networks analysis
- Acquiring the Facebook graph
- Working with graphs using Gephi
- Statistical analysis
- Degree distribution
- Transforming GDF to JSON
- Graph visualization with D3.js
- Summary
- Chapter 11. Working with Twitter Data
- The anatomy of Twitter data
- Using OAuth to access Twitter API
- Getting started with Twython
- Summary
- Chapter 12. Data Processing and Aggregation with MongoDB
- Getting started with MongoDB
- Data preparation
- Group
- Aggregation framework
- Summary
- Chapter 13. Working with MapReduce
- An overview of MapReduce
- Programming model
- Using MapReduce with MongoDB
- Filtering the input collection
- Grouping and aggregation
- Counting the most common words in tweets
- Summary
- Chapter 14. Online Data Analysis with Jupyter and Wakari
- Getting started with Wakari
- Getting started with IPython notebook
- Introduction to image processing with PIL
- Getting started with pandas
- Sharing your Notebook
- Summary
- Chapter 15. Understanding Data Processing using Apache Spark
- Platform for data processing
- An introduction to the distributed file system
- An introduction to Apache Spark
- Summary 更新時間：2021-07-08 11:21:57
