Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications
暫譯: 實作數據科學與 Anaconda:運用正確的工具組合來創建高效能的數據科學應用程式
Dr. Yuxing Yan, James Yan
- 出版商: Packt Publishing
- 出版日期: 2018-05-31
- 售價: $1,500
- 貴賓價: 9.5 折 $1,425
- 語言: 英文
- 頁數: 364
- 裝訂: Paperback
- ISBN: 1788831195
- ISBN-13: 9781788831192
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相關分類:
Data Science
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相關翻譯:
Anaconda 數據科學實戰 (簡中版)
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商品描述
Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda
Key Features
- Use Anaconda to find solutions for clustering, classification, and linear regression
- Analyze your data efficiently with the most powerful data science stack
- Use the Anaconda cloud to store, share, and discover projects and libraries
Book Description
Anaconda is an open source platform that brings together the best tools for data science professionals with more than 100 popular packages supporting Python, Scala, and R languages. Hands-On Data Science with Anaconda gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real world.
The book begins with setting up the environment for Anaconda platform in order to make it accessible for tools and frameworks such as Jupyter, pandas, matplotlib, Python, R, Julia, and more. You'll walk through package manager Conda, through which you can automatically manage all packages including cross-language dependencies, and work across Linux, macOS, and Windows. You'll explore all the essentials of data science and linear algebra to perform data science tasks using packages such as SciPy, contrastive, scikit-learn, Rattle, and Rmixmod.
Once you're accustomed to all this, you'll start with operations in data science such as cleaning, sorting, and data classification. You'll move on to learning how to perform tasks such as clustering, regression, prediction, and building machine learning models and optimizing them. In addition to this, you'll learn how to visualize data using the packages available for Julia, Python, and R.
What you will learn
- Perform cleaning, sorting, classification, clustering, regression, and dataset modeling using Anaconda
- Use the package manager conda and discover, install, and use functionally efficient and scalable packages
- Get comfortable with heterogeneous data exploration using multiple languages within a project
- Perform distributed computing and use Anaconda Accelerate to optimize computational powers
- Discover and share packages, notebooks, and environments, and use shared project drives on Anaconda Cloud
- Tackle advanced data prediction problems
Who This Book Is For
Hands-On Data Science with Anaconda is for you if you are a developer who is looking for the best tools in the market to perform data science. It's also ideal for data analysts and data science professionals who want to improve the efficiency of their data science applications by using the best libraries in multiple languages. Basic programming knowledge with R or Python and introductory knowledge of linear algebra is expected.
Table of Contents
- Ecosystem of Anaconda
- Anaconda Installation
- Data basics
- Data visualization
- Statistics modeling in Anaconda
- Managing packages
- Optimization in Anaconda
- Unsupervised Learning in Anaconda
- Supervised Learning in Anaconda
- Predictive Data Analytics: Modelling and Validation
- Anaconda Cloud
- Distributed computing, parallel computing and HPCC
商品描述(中文翻譯)
**使用最受歡迎的端到端平台 Anaconda 開發、部署和簡化您的資料科學專案**
#### 主要特點
- 使用 Anaconda 尋找聚類、分類和線性回歸的解決方案
- 使用最強大的資料科學堆疊高效分析您的資料
- 使用 Anaconda 雲端儲存、分享和發現專案及函式庫
#### 書籍描述
Anaconda 是一個開源平台,將超過 100 個流行的套件整合在一起,支援 Python、Scala 和 R 語言,為資料科學專業人士提供最佳工具。《Hands-On Data Science with Anaconda》將幫助您入門 Anaconda,並展示如何在現實世界中使用它執行資料科學操作。
本書首先介紹如何設置 Anaconda 平台的環境,以便能夠使用 Jupyter、pandas、matplotlib、Python、R、Julia 等工具和框架。您將學習如何使用套件管理器 Conda,自動管理所有套件,包括跨語言的相依性,並在 Linux、macOS 和 Windows 上工作。您將探索資料科學和線性代數的所有基本知識,使用 SciPy、contrastive、scikit-learn、Rattle 和 Rmixmod 等套件執行資料科學任務。
一旦您熟悉這些內容,您將開始進行資料科學的操作,例如清理、排序和資料分類。接著,您將學習如何執行聚類、回歸、預測等任務,並建立和優化機器學習模型。此外,您還將學習如何使用 Julia、Python 和 R 的套件來視覺化資料。
#### 您將學到的內容
- 使用 Anaconda 執行清理、排序、分類、聚類、回歸和資料集建模
- 使用套件管理器 conda,發現、安裝和使用功能高效且可擴展的套件
- 在專案中使用多種語言進行異質資料探索,變得更加得心應手
- 執行分散式計算,並使用 Anaconda Accelerate 來優化計算能力
- 發現和分享套件、筆記本和環境,並在 Anaconda Cloud 上使用共享專案驅動器
- 解決高級資料預測問題
#### 本書適合誰
如果您是一位尋找市場上最佳資料科學工具的開發者,《Hands-On Data Science with Anaconda》非常適合您。它也非常適合希望通過使用多種語言中的最佳函式庫來提高資料科學應用效率的資料分析師和資料科學專業人士。預期具備 R 或 Python 的基本程式設計知識以及線性代數的入門知識。
#### 目錄
1. Anaconda 生態系統
2. Anaconda 安裝
3. 資料基礎
4. 資料視覺化
5. Anaconda 中的統計建模
6. 套件管理
7. Anaconda 中的優化
8. Anaconda 中的無監督學習
9. Anaconda 中的監督學習
10. 預測資料分析:建模與驗證
11. Anaconda Cloud
12. 分散式計算、平行計算與 HPCC