Predictive Analytics for the Modern Enterprise: A Practitioner's Guide to Designing and Implementing Solutions

Ali, Nooruddin Abbas

  • 出版商: O'Reilly
  • 出版日期: 2024-06-25
  • 定價: $2,280
  • 售價: 9.5$2,166
  • 語言: 英文
  • 頁數: 358
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1098136861
  • ISBN-13: 9781098136864
  • 相關分類: Machine Learning
  • 立即出貨 (庫存=1)

商品描述

The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today's forward-thinking companies.

If you're a data professional, you need to be aligned with your company's business activities more than ever before. This practical book provides the background, tools, and best practices necessary to help you design, implement, and operationalize predictive analytics in the cloud. Author Nooruddin Abbas Ali, principal solutions architect at MongoDB, brings you up to speed through industry use cases and end-to-end hands-on examples.

This book helps business technology leaders:

  • Implement and operationalize predictive analytics in your organization
  • Explore ways that predictive analytics can provide direct input back to your business
  • Understand mathematical tools commonly used in predictive analytics
  • Learn the development frameworks used in predictive analytics applications
  • Appreciate the role of predictive analytics in the machine learning process
  • Examine industry implementations of predictive analytics
  • Build, train, and retrain predictive models using Python and TensorFlow

商品描述(中文翻譯)

預測分析市場正蓬勃發展,預計從目前的105億美元增長到2026年的280億美元。隨著自動化在各行各業的普及、數據驅動的決策增加以及物聯網設備的普及,預測分析已成為當今具有前瞻性的公司的運營必需品。

如果您是一位數據專業人士,您需要比以往更加與公司的業務活動保持一致。這本實用書提供了設計、實施和在雲端中運營預測分析所需的背景、工具和最佳實踐。作者Nooruddin Abbas Ali是MongoDB的首席解決方案架構師,通過行業案例和端到端的實際示例,使您能夠快速掌握相關知識。

這本書幫助商業技術領導者:
- 在組織中實施和運營預測分析
- 探索預測分析如何直接為您的業務提供輸入
- 理解預測分析中常用的數學工具
- 學習預測分析應用中使用的開發框架
- 了解預測分析在機器學習過程中的作用
- 檢視預測分析的行業實施
- 使用Python和TensorFlow構建、訓練和重新訓練預測模型