Predicting the Unknown: The History and Future of Data Science and Artificial Intelligence
暫譯: 預測未知：數據科學與人工智慧的歷史與未來

Kampakis, Stylianos

Predicting the Unknown: The History and Future of Data Science and Artificial Intelligence
  • 出版商: Apress
  • 出版日期: 2023-06-16
  • 售價: $2,240
  • 貴賓價: 9.5 折 $2,128
  • 語言: 英文
  • 頁數: 264
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484295048
  • ISBN-13: 9781484295045
  • 相關分類: 人工智慧、Data Science

    • 立即出貨 (庫存=1)

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商品描述

As a society, we're in a constant struggle to control uncertainty and predict the unknown. Quite often, we think of scientific fields and theories as being separate from each other. But a more careful investigation can uncover the common thread that ties many of those together. From ChatGPT, to Amazon's Alexa, to Apple's Siri, data science, and computer science have become part of our lives. In the meantime, the demand for data scientists has grown, as the field has been increasingly called the "sexiest profession."

This book attempts to specifically cover this gap in literature between data science, machine learning and artificial intelligence (AI). How was uncertainty approached historically, and how has it evolved since? What schools of thought exist in philosophy, mathematics, and engineering, and what role did they play in the development of data science? It uses the history of data science as a stepping stone to explain what the future might hold.

Predicting the Unknown provides the framework that will help you understand where AI is headed, and how to best prepare for the world that's coming in the next few years, both as a society and within a business. It is not technical and avoids equations or technical explanations, yet is written for the intellectually curious reader, and the technical expert interested in the historical details that can help contextualize how we got here.

What You'll Learn

 

  • Explore the bigger picture of data science and see how to best anticipate future changes in that field
  • Understand machine learning, AI, and data science
  • Examine data science and AI through engaging historical and human-centric narratives

 

Who is This Book For

Business leaders and technology enthusiasts who are trying to understand how to think about data science and AI

 

 

商品描述(中文翻譯)

作為一個社會，我們不斷努力控制不確定性並預測未知。經常地，我們認為科學領域和理論彼此是分開的。然而，經過更仔細的調查，可以發現許多這些領域之間的共同聯繫。從 ChatGPT 到亞馬遜的 Alexa，再到蘋果的 Siri，數據科學和計算機科學已經成為我們生活的一部分。與此同時，對數據科學家的需求不斷增長，這個領域越來越被稱為「最性感的職業」。

本書試圖具體填補數據科學、機器學習和人工智慧（AI）之間的文獻空白。歷史上如何處理不確定性，並且自那以後如何演變？在哲學、數學和工程中存在哪些思想流派，它們在數據科學的發展中扮演了什麼角色？本書利用數據科學的歷史作為跳板，解釋未來可能會發生什麼。

《預測未知》提供了一個框架，幫助您理解人工智慧的未來走向，以及如何為未來幾年即將到來的世界做好準備，無論是作為一個社會還是在商業中。它不具技術性，避免使用方程式或技術解釋，但卻是為了對知識充滿好奇的讀者和對歷史細節感興趣的技術專家而寫的，這些細節有助於幫助我們理解我們是如何走到今天的。

您將學到的內容：

- 探索數據科學的全貌，了解如何最好地預測該領域未來的變化
- 理解機器學習、人工智慧和數據科學
- 通過引人入勝的歷史和以人為中心的敘事來檢視數據科學和人工智慧

本書適合誰：

商業領袖和技術愛好者，試圖理解如何思考數據科學和人工智慧。

作者簡介

Dr. Stylianos (Stelios) Kampakis is a data scientist, data science educator and blockchain expert with more than 10 years of experience. He has worked with decision makers from companies of all sizes: from startups to organizations like the US Navy, Vodafone ad British Land. His work expands multiple sectors including fintech (fraud detection and valuation models), sports analytics, health-tech, general AI, medical statistics, predictive maintenance and others. He has worked with many different types of technologies, from statistical models, to deep learning to blockchain and he has two patents pending to his name. He has also helped many people follow a career in data science and technology.


He is a member of the Royal Statistical Society, honorary research fellow at the UCL Centre for Blockchain Technologies, a data science advisor for London Business School, and CEO of The Tesseract Academy and tokenomics auditor at Hacken. As a well-known data-science educator, he has published two books, both of them getting 5 stars on Amazon. His personal website gets more than 10k visitors per month, and he is also a data science influencer on LinkedIn.

 

作者簡介(中文翻譯)

Dr. Stylianos (Stelios) Kampakis 是一位數據科學家、數據科學教育者及區塊鏈專家，擁有超過 10 年的經驗。他曾與各種規模公司的決策者合作，從初創企業到美國海軍、Vodafone 和 British Land 等組織。他的工作涵蓋多個領域，包括金融科技（詐騙檢測和估值模型）、體育分析、健康科技、一般人工智慧、醫學統計、預測性維護等。他接觸過多種技術，從統計模型到深度學習再到區塊鏈，並且擁有兩項專利正在申請中。他也幫助許多人追隨數據科學和技術的職業生涯。

他是英國皇家統計學會的成員，倫敦大學學院區塊鏈技術中心的榮譽研究員，倫敦商學院的數據科學顧問，以及 The Tesseract Academy 的執行長和 Hacken 的代幣經濟審計師。作為一位知名的數據科學教育者，他出版了兩本書，均在亞馬遜上獲得 5 顆星的評價。他的個人網站每月訪問量超過 10,000 次，並且他也是 LinkedIn 上的數據科學影響者。

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