Transactional Machine Learning with Data Streams and Automl: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud
暫譯: 使用數據流和自動機器學習的事務性機器學習：在雲端中使用 Apache Kafka 構建無摩擦和彈性的機器學習解決方案

Maurice, Sebastian

Transactional Machine Learning with Data Streams and Automl: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud
  • 出版商: Apress
  • 出版日期: 2021-05-20
  • 定價: $2,400
  • 售價: 8.0 折 $1,920
  • 語言: 英文
  • 頁數: 302
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484270223
  • ISBN-13: 9781484270226
  • 相關分類: Message Queue、Machine Learning

    • 立即出貨 (庫存=1)

相關主題

商品描述

Understand how to apply auto machine learning to data streams and create transactional machine learning (TML) solutions that are frictionless (require minimal to no human intervention) and elastic (machine learning solutions that can scale up or down by controlling the number of data streams, algorithms, and users of the insights). This book will strengthen your knowledge of the inner workings of TML solutions using data streams with auto machine learning integrated with Apache Kafka.

Transactional Machine Learning with Data Streams and AutoML introduces the industry challenges with applying machine learning to data streams. You will learn the framework that will help you in choosing business problems that are best suited for TML. You will also see how to measure the business value of TML solutions. You will then learn the technical components of TML solutions, including the reference and technical architecture of a TML solution.

This book also presents a TML solution template that will make it easy for you to quickly start building your own TML solutions. Specifically, you are given access to a TML Python library and integration technologies for download. You will also learn how TML will evolve in the future, and the growing need by organizations for deeper insights from data streams.

 

By the end of the book, you will have a solid understanding of TML. You will know how to build TML solutions with all the necessary details, and all the resources at your fingertips.

What You Will Learn

  • Discover transactional machine learning
  • Measure the business value of TML
  • Choose TML use cases
  • Design technical architecture of TML solutions with Apache Kafka
  • Work with the technologies used to build TML solutions
  • Build transactional machine learning solutions with hands-on code together with Apache Kafka in the cloud

Who This Book Is For

Data scientists, machine learning engineers and architects, and AI and machine learning business leaders.

 

商品描述(中文翻譯)

了解如何將自動機器學習應用於數據流，並創建無摩擦（需要最少或不需要人類干預）和彈性（可以通過控制數據流、算法和洞察用戶的數量來擴展或縮減的機器學習解決方案）的交易機器學習（TML）解決方案。本書將加強您對使用數據流的 TML 解決方案內部運作的知識，並整合自動機器學習與 Apache Kafka。

使用數據流和 AutoML 的交易機器學習 介紹了將機器學習應用於數據流的行業挑戰。您將學習幫助您選擇最適合 TML 的商業問題的框架。您還將看到如何衡量 TML 解決方案的商業價值。接著，您將學習 TML 解決方案的技術組件，包括 TML 解決方案的參考和技術架構。

本書還提供了一個 TML 解決方案模板，使您能夠快速開始構建自己的 TML 解決方案。具體而言，您將獲得 TML Python 庫和集成技術的下載訪問權限。您還將了解 TML 在未來的演變，以及組織對數據流中更深入洞察的日益需求。

 

在本書結束時，您將對 TML 有扎實的理解。您將知道如何構建 TML 解決方案，並掌握所有必要的細節和資源。

您將學到什麼


  • 發現交易機器學習

  • 衡量 TML 的商業價值

  • 選擇 TML 使用案例

  • 設計與 Apache Kafka 的 TML 解決方案技術架構

  • 使用構建 TML 解決方案的技術

  • 在雲端與 Apache Kafka 一起構建交易機器學習解決方案，並進行實作編碼

本書適合誰閱讀

數據科學家、機器學習工程師和架構師，以及 AI 和機器學習的商業領導者。

 

作者簡介

Sebastian Maurice is founder and CTO of OTICS Advanced Analytics Inc. and has over 25 years of experience in AI and machine learning. Previously, Sebastian served as Associate Director within Gartner Consulting focusing on artificial intelligence and machine learning. He was instrumental in developing and growing Gartner's AI consulting business. He has led global teams to solve critical business problems with machine learning in oil and gas, retail, utilities, manufacturing, finance, and insurance. Dr. Maurice also brings deep experience in oil and gas (upstream) and was one of the first in Canada to apply machine learning to oil production optimization, which resulted in a Canadian patent: #2864265.

Sebastian is also a published author with seven publications in international peer-reviewed journals and books. One of his publications (International Journal of Engineering Education, 2004) was cited as landmark work in the area of online testing technology. He also developed the world's first Apache Kafka connector for transactional machine learning: MAADS-VIPER.

Dr. Maurice received his PhD in electrical and computer engineering from the University of Calgary, and has a master's in electrical engineering, and a master's in agricultural economics, with bachelors in pure mathematics and bachelors (hon) in economics.

 

Dr. Maurice also teaches a course on data science at the University of Toronto and actively helps to develop AI course content at the University of Toronto. He is also active in the AI community and an avid blogger and speaker. He also sits on the AI advisory board at McMaster University.

 

作者簡介(中文翻譯)

Sebastian Maurice 是 OTICS Advanced Analytics Inc. 的創辦人及首席技術官，擁有超過 25 年的人工智慧 (AI) 和機器學習經驗。之前，Sebastian 擔任 Gartner Consulting 的副總監，專注於人工智慧和機器學習。他在發展和擴大 Gartner 的 AI 諮詢業務方面發揮了重要作用。他曾領導全球團隊，利用機器學習解決石油和天然氣、零售、公用事業、製造、金融和保險等領域的關鍵商業問題。Maurice 博士在石油和天然氣（上游）方面也有深厚的經驗，是加拿大首批將機器學習應用於石油生產優化的人之一，並因此獲得了加拿大專利：#2864265。

Sebastian 也是一位已發表的作者，在國際同行評審的期刊和書籍中發表了七篇論文。他的一篇論文（《國際工程教育期刊》，2004 年）被引用為在線測試技術領域的里程碑工作。他還開發了全球首個用於交易性機器學習的 Apache Kafka 連接器：MAADS-VIPER。

Maurice 博士在卡爾加里大學獲得電機與計算機工程博士學位，並擁有電機工程碩士學位和農業經濟學碩士學位，還擁有純數學學士學位和經濟學（榮譽）學士學位。

Maurice 博士還在多倫多大學教授數據科學課程，並積極協助開發多倫多大學的 AI 課程內容。他在 AI 社群中也非常活躍，是一位熱衷的部落客和演講者，並且擔任麥克馬斯特大學的 AI 諮詢委員會成員。

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