Data Science Fundamentals for Python and MongoDB (Python與MongoDB的資料科學基礎)

David Paper

Data Science Fundamentals for Python and MongoDB
  • 出版商: Apress
  • 出版日期: 2018-05-11
  • 定價: $1,225
  • 售價: 8.0 折 $980
  • 語言: 英文
  • 頁數: 214
  • 裝訂: Paperback
  • ISBN: 1484235967
  • ISBN-13: 9781484235966
  • 相關分類: NoSQL、MongoDB、Python、程式語言、Data Science

    • 立即出貨 (庫存=1)

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商品描述

Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms. 
 

The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn’t required because complete examples are provided and explained.

 
Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is “rocky” at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced. 
 
What You'll Learn
  • Prepare for a career in data science
  • Work with complex data structures in Python
  • Simulate with Monte Carlo and Stochastic algorithms
  • Apply linear algebra using vectors and matrices
  • Utilize complex algorithms such as gradient descent and principal component analysis
  • Wrangle, cleanse, visualize, and problem solve with data
  • Use MongoDB and JSON to work with data
Who This Book Is For
 

The novice yearning to break into the data science world, and the enthusiast looking to enrich, deepen, and develop data science skills through mastering the underlying fundamentals that are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming will make learning easier.

商品描述(中文翻譯)

建立基礎的資料科學技能，以便能夠處理和更好地理解複雜的資料科學演算法。這本以實例驅動的書籍提供完整的Python編碼示例，以補充和澄清資料科學概念，豐富學習經驗。編碼示例在適當的情況下包含視覺化。這本書是應用和實施機器學習演算法的必要先備。

這本書是自成一體的。它涵蓋了掌握內容所需的數學、統計、隨機和編程技能。不需要深入了解面向對象編程，因為提供了完整的示例並進行了解釋。

《使用Python和MongoDB的資料科學基礎》是那些有興趣從事資料科學職業的人的絕佳起點。像任何科學一樣，資料科學的基礎是能力的先決條件。如果沒有數學、統計、數據操作和編程的熟練掌握，成功之路最多只能是“崎嶇”。本書中的編碼示例簡潔、準確、完整，完美地補充了介紹的資料科學概念。

你將學到什麼：
- 為資料科學職業做好準備
- 在Python中處理複雜的資料結構
- 使用蒙特卡羅和隨機演算法進行模擬
- 使用向量和矩陣應用線性代數
- 利用梯度下降和主成分分析等複雜演算法
- 整理、清理、視覺化和解決資料問題
- 使用MongoDB和JSON處理資料

本書適合對打入資料科學領域抱有渴望的新手，以及希望通過掌握底層基礎知識來豐富、深化和發展資料科學技能的愛好者，有一些面向對象編程的知識將有助於學習的順利進行。

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