Introduction to Prescriptive AI: A Primer for Decision Intelligence Solutioning with Python
暫譯: 處方性人工智慧導論：使用 Python 進行決策智慧解決方案的入門指南
Kulkarni, Akshay, Shivananda, Adarsha, Manure, Avinash
相關主題
商品描述
Gain a working knowledge of prescriptive AI, its history, and its current and future trends. This book will help you evaluate different AI-driven predictive analytics techniques and help you incorporate decision intelligence into your business workflow through real-world examples.
The book kicks off with an introduction to decision intelligence and provides insight into prescriptive AI and how it can be woven into various business strategies and frameworks. You'll then be introduced to different decision intelligence methodologies and how to implement them, along with advantages and limitations of each. Digging deeper, the authors then walk you through how to perform simulations and interpret the results. A full chapter is devoted to embedding decision intelligence processes and outcomes into your business workflow using various applications. The book concludes by exploring different cognitive biases humans are prone to, and how those biases can be eliminated by combining machine and human intelligence.
Upon completing this book, you will understand prescriptive AI, tools, and techniques and will be ready to incorporate them into your business workflow.
What You Will Learn
- Implement full-fledged decision intelligence applications using Python
- Leverage the tools, techniques, and methodologies for prescriptive AI
- Understand how prescriptive AI can be used in different domains through practical examples
- Interpret results and integrate them into your decision making
Who This Book Is ForData Scientists and Machine Learning Engineers, as well as business professionals who want to understand how AI-driven decision intelligence can help grow their business.
商品描述(中文翻譯)
獲得對於規範性人工智慧（prescriptive AI）、其歷史以及當前和未來趨勢的實用知識。本書將幫助您評估不同的人工智慧驅動的預測分析技術，並通過實際案例幫助您將決策智能（decision intelligence）融入您的商業工作流程中。
本書首先介紹決策智能，並提供對規範性人工智慧的見解，以及如何將其融入各種商業策略和框架中。接著，您將了解不同的決策智能方法論及其實施方式，並探討每種方法的優勢和限制。深入探討後，作者將指導您如何進行模擬並解釋結果。專門有一章致力於使用各種應用程序將決策智能過程和結果嵌入您的商業工作流程中。本書最後探討了人類容易受到的不同認知偏誤，以及如何通過結合機器和人類智能來消除這些偏誤。
完成本書後，您將理解規範性人工智慧、工具和技術，並準備將其融入您的商業工作流程中。
您將學到的內容：
- 使用 Python 實施完整的決策智能應用程序
- 利用規範性人工智慧的工具、技術和方法論
- 通過實際案例了解規範性人工智慧在不同領域的應用
- 解釋結果並將其整合到您的決策中
本書適合對象：數據科學家和機器學習工程師，以及希望了解人工智慧驅動的決策智能如何幫助業務增長的商業專業人士。
作者簡介
Akshay R. Kulkarni is an artificial intelligence (AI) and machine learning (ML) evangelist and a thought leader. He has consulted several Fortune 500 and global enterprises to drive AI and data science-led strategic transformations. He is a Google developer, an author, and a regular speaker at major AI and data science conferences (including the O'Reilly Strata Data & AI Conference and Great International Developer Summit (GIDS)) . He is a visiting faculty member at some of the top graduate institutes in India. In 2019, he was featured as one of India's "top 40 under 40" data scientists. In his spare time, Akshay enjoys reading, writing, coding, and helping aspiring data scientists. He lives in Bangalore with his family.
Adarsha Shivananda is a data science and MLOps leader. He is working on creating world-class MLOps capabilities to ensure continuous value delivery from AI. He aims to build a pool of exceptional data scientists within and outside organizations to solve problems through training programs. He always wants to stay ahead of the curve. Adarsha has worked extensively in the pharma, healthcare, CPG, retail, and marketing domains. He lives in Bangalore and loves to read and teach data science.
Avinash Manure is a seasoned Machine Learning Professional with 10+ years of experience building, deploying, and maintaining state-of-the-art machine learning solutions across different industries. He has 6+ years of experience leading and mentoring high-performance teams in developing ML systems catering to different business requirements. He is proficient in deploying complex machine learning and statistical modeling algorithms/techniques for identifying patterns and extracting valuable insights for key stakeholders and organizational leadership.
作者簡介(中文翻譯)
阿克夏·R·庫爾卡尼 是一位人工智慧 (AI) 和機器學習 (ML) 的推廣者及思想領袖。他曾為多家《財富》500 強企業及全球企業提供諮詢，推動以 AI 和數據科學為主導的戰略轉型。他是 Google 開發者、作家，並且是主要 AI 和數據科學會議（包括 O'Reilly Strata Data & AI Conference 和 Great International Developer Summit (GIDS)）的常規演講者。他是印度一些頂尖研究所的客座教授。2019 年，他被評選為印度「40 位 40 歲以下」的數據科學家之一。在空閒時間，阿克夏喜歡閱讀、寫作、編碼，並幫助有志於成為數據科學家的朋友。他與家人居住在班加羅爾。
阿達爾沙·希瓦南達 是一位數據科學和 MLOps 領導者。他致力於創建世界級的 MLOps 能力，以確保從 AI 中持續交付價值。他的目標是建立一個卓越的數據科學家池，無論是在組織內部還是外部，通過培訓計劃解決問題。他總是希望走在潮流的前端。阿達爾沙在製藥、醫療保健、消費品、零售和市場營銷領域有廣泛的工作經驗。他居住在班加羅爾，熱愛閱讀和教授數據科學。
阿維納什·馬努爾 是一位經驗豐富的機器學習專業人士，擁有超過 10 年的經驗，專注於構建、部署和維護各行各業的尖端機器學習解決方案。他擁有超過 6 年的經驗，領導和指導高效能團隊開發滿足不同業務需求的 ML 系統。他精通部署複雜的機器學習和統計建模算法/技術，以識別模式並為關鍵利益相關者和組織領導層提取有價值的見解。
