The Decision Maker's Handbook to Data Science: AI and Data Science for Non-Technical Executives, Managers, and Founders

Kampakis, Stylianos

The Decision Maker's Handbook to Data Science: AI and Data Science for Non-Technical Executives, Managers, and Founders
  • 出版商: Apress
  • 出版日期: 2024-07-02
  • 售價: $1,930
  • 貴賓價: 9.5 折 $1,834
  • 語言: 英文
  • 頁數: 192
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868802782
  • ISBN-13: 9798868802782
  • 相關分類: Maker、人工智慧、Data Science

    • 海外代購書籍(需單獨結帳)

商品描述

Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. This third edition delves into the latest advancements in AI, particularly focusing on large language models (LLMs), with clear distinctions made between AI and traditional data science, including AI's ability to emulate human decision-making.

Author Stylianos Kampakis introduces you to the critical aspect of ethics in AI, an area of growing importance and scrutiny. The narrative examines the ethical considerations intrinsic to the development and deployment of AI technologies, including bias, fairness, transparency, and accountability. You'll be provided with the expertise and tools required to develop a solid data strategy that is continuously effective. Ethics and legal issues surrounding data collection and algorithmic bias are some common pitfalls that Kampakis helps you avoid, while guiding you on the path to build a thriving data science culture at your organization. This updated edition also includes plenty of case studies, tools for project assessment, and expanded content for hiring and managing data scientists.

Data science is a language that everyone at a modern company should understand across departments. Friction in communication arises most often when management does not connect with what a data scientist is doing or how impactful data collection and storage can be for their organization. The Decision Maker's Handbook to Data Science bridges this gap and readies you for both the present and future of your workplace in this engaging, comprehensive guide.

What You Will Learn

  • Integrate AI with other innovative technologies
  • Explore anticipated ethical, regulatory, and technical landscapes that will shape the future of AI and data science
  • Discover how to hire and manage data scientists
  • Build the right environment in order to make your organization data-driven

Who This Book Is For

Startup founders, product managers, higher level managers, and any other non-technical decision makers who are thinking to implement data science in their organization and hire data scientists. A secondary audience includes people looking for a soft introduction into the subject of data science.


商品描述(中文翻譯)

資料科學正在各行各業迅速擴展，最早採用最佳實踐的公司將獲得顯著的優勢。為了獲得這些好處，決策者需要對資料科學及其在組織中的應用有信心的理解。本書第三版深入探討了人工智慧（AI）的最新進展，特別關注大型語言模型（LLMs），並清楚區分了AI與傳統資料科學之間的差異，包括AI模擬人類決策能力的特性。

作者Stylianos Kampakis向您介紹AI倫理的關鍵方面，這是一個日益重要且受到關注的領域。該敘述檢視了與AI技術的開發和部署相關的倫理考量，包括偏見、公平性、透明度和問責制。您將獲得所需的專業知識和工具，以制定一個持續有效的資料策略。Kampakis幫助您避免資料收集和算法偏見相關的常見陷阱，同時指導您在組織中建立蓬勃發展的資料科學文化。本更新版還包含了大量案例研究、項目評估工具以及擴展的內容，幫助您招聘和管理資料科學家。

資料科學是一種現代公司各部門都應該理解的語言。當管理層無法理解資料科學家所做的工作或資料收集和儲存對組織的影響時，溝通中最常出現摩擦。《決策者的資料科學手冊》彌補了這一差距，並為您準備好當前和未來的工作場所，這是一本引人入勝且全面的指南。

您將學到的內容：
- 將AI與其他創新技術整合
- 探索預期的倫理、監管和技術環境，這些將塑造AI和資料科學的未來
- 發現如何招聘和管理資料科學家
- 建立正確的環境，使您的組織以資料為驅動

本書適合對象：
初創公司創辦人、產品經理、高層管理者以及任何考慮在其組織中實施資料科學並招聘資料科學家的非技術決策者。次要讀者包括希望對資料科學主題有初步了解的人士。

作者簡介

Dr. Stylianos (Stelios) Kampakis is a data scientist who lives and works in London, UK. He holds a PhD in Computer Science from University College London, as well as an MSc in Informatics from the University of Edinburgh. He also holds degrees in Statistics, Cognitive Psychology, Economics and Intelligent Systems. He is a member of the Royal Statistical Society and an honorary research fellow in the UCL Centre for Blockchain Technologies. He has many years of academic and industrial experience in all fields of data science like statistical modelling, machine learning, classic AI, optimization and more.

Throughout his career, Stylianos has been involved in a wide range of projects: from using deep learning to analyze data from mobile sensors and radar devices, to recommender systems, to natural language processing for social media data to predicting sports outcomes. He has also done work in the areas of econometrics, Bayesian modelling, forecasting and research design. He also has many years of experience in consulting for startups and scale-ups, having successfully worked with companies of all stages, some of which have raised millions of dollars in funding. He is still providing services in data science and blockchain, as a partner in Electi Consulting.

In the academic domain, he is one of the foremost experts in the area of sports analytics, having done his PhD in the use of machine learning for predicting football injuries. He has also published papers in the areas neural networks, computational neuroscience and cognitive science. Finally, he is also involved in blockchain research and more specifically in the areas of tokenomics, supply chains and securitization of assets.

Stylianos is also very active in the area of data science education. He is the founder of The Tesseract Academy, a company whose mission is to help decision makers understand deep technical topics such as machine learning and blockchain. He is also teaching "Social Media Analytics", and "Quantitative Methods and Statistics with R" in the Cyprus International Institute of Management, and runs his own data science school in London called Datalyst.

He often writes about data science, machine learning, blockchain and other topics at his personal blog: The Data Scientist (thedatascientist.com).


作者簡介(中文翻譯)

Dr. Stylianos (Stelios) Kampakis 是一位數據科學家，居住並在英國倫敦工作。他擁有倫敦大學學院的計算機科學博士學位，以及愛丁堡大學的資訊學碩士學位。他還擁有統計學、認知心理學、經濟學和智能系統的學位。他是英國皇家統計學會的成員，也是倫敦大學學院區塊鏈技術中心的榮譽研究員。他在數據科學的各個領域擁有多年學術和工業經驗，包括統計建模、機器學習、經典人工智慧、優化等。

在他的職業生涯中，Stylianos 參與了各種項目：從使用深度學習分析來自移動傳感器和雷達設備的數據，到推薦系統，再到社交媒體數據的自然語言處理，以及預測體育賽事結果。他還在計量經濟學、貝葉斯建模、預測和研究設計等領域進行過工作。他在初創企業和成長型企業的諮詢方面也有多年經驗，成功與各個階段的公司合作，其中一些公司已籌集了數百萬美元的資金。他目前仍在 Electi Consulting 擔任合夥人，提供數據科學和區塊鏈的服務。

在學術領域，他是體育分析領域的頂尖專家之一，博士論文研究了機器學習在預測足球受傷方面的應用。他還在神經網絡、計算神經科學和認知科學等領域發表過論文。最後，他還參與區塊鏈研究，特別是在代幣經濟學、供應鏈和資產證券化等領域。

Stylianos 在數據科學教育方面也非常活躍。他是 The Tesseract Academy 的創始人，該公司的使命是幫助決策者理解機器學習和區塊鏈等深奧的技術主題。他還在塞浦路斯國際管理學院教授「社交媒體分析」和「使用 R 的定量方法與統計」，並在倫敦經營自己的數據科學學校 Datalyst。

他經常在個人部落格 The Data Scientist (thedatascientist.com) 上撰寫有關數據科學、機器學習、區塊鏈和其他主題的文章。

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