Industrial Machine Learning: Using Artificial Intelligence as a Transformational Disruptor
暫譯: 工業機器學習：將人工智慧作為轉型顛覆者

Vermeulen, Andreas Francois

Industrial Machine Learning: Using Artificial Intelligence as a Transformational Disruptor
  • 出版商: Apress
  • 出版日期: 2019-12-01
  • 定價: $2,200
  • 售價: 8.0 折 $1,760
  • 語言: 英文
  • 頁數: 637
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484253159
  • ISBN-13: 9781484253151
  • 相關分類: 人工智慧、Machine Learning

    • 立即出貨 (庫存 < 3)

商品描述

Understand the industrialization of machine learning (ML) and take the first steps toward identifying and generating the transformational disruptors of artificial intelligence (AI). You will learn to apply ML to data lakes in various industries, supplying data professionals with the advanced skills required to handle the future of data engineering and data science.

Data lakes currently generated by worldwide industrialized business activities are projected to reach 35 zettabytes (ZB) as the Fourth Industrial Revolution produces an exponential increase of volume, velocity, variety, variability, veracity, visualization, and value. Industrialization of ML evolves from AI and studying pattern recognition against the increasingly unstructured resource stored in data lakes.

Industrial Machine Learning supplies advanced, yet practical examples in different industries, including finance, public safety, health care, transportation, manufactory, supply chain, 3D printing, education, research, and data science. The book covers: supervised learning, unsupervised learning, reinforcement learning, evolutionary computing principles, soft robotics disruptors, and hard robotics disruptors.


What You Will Learn

  • Generate and identify transformational disruptors of artificial intelligence (AI)
  • Understand the field of machine learning (ML) and apply it to handle big data and process the data lakes in your environment
  • Hone the skills required to handle the future of data engineering and data science


Who This Book Is For

Intermediate to expert level professionals in the fields of data science, data engineering, machine learning, and data management


商品描述(中文翻譯)

了解機器學習（ML）的工業化，並邁出識別和生成人工智慧（AI）轉型顛覆者的第一步。您將學會如何將 ML 應用於各行各業的數據湖，為數據專業人員提供處理未來數據工程和數據科學所需的高級技能。

目前由全球工業化商業活動產生的數據湖預計將達到 35 兆字節（ZB），因為第四次工業革命帶來了體量、速度、多樣性、變異性、真實性、可視化和價值的指數增長。機器學習的工業化源於人工智慧，並研究模式識別對於存儲在數據湖中日益非結構化資源的影響。

工業機器學習 提供了來自不同產業的先進且實用的範例，包括金融、公共安全、醫療保健、交通運輸、製造業、供應鏈、3D 打印、教育、研究和數據科學。本書涵蓋：監督學習、非監督學習、強化學習、進化計算原則、軟體機器人顛覆者和硬體機器人顛覆者。


您將學到什麼


  • 生成和識別人工智慧（AI）的轉型顛覆者


  • 了解機器學習（ML）領域，並將其應用於處理大數據和您環境中的數據湖


  • 磨練處理未來數據工程和數據科學所需的技能


本書適合誰

數據科學、數據工程、機器學習和數據管理領域的中級至專家級專業人士


作者簡介

Andreas François Vermeulen is Chief Data Scientist and Solutions Delivery Manager at Sopra-Steria and he serves as part-time doctoral researcher and senior research project advisor at University of St. Andrews on future concepts in health care systems, Internet of Things (IoT) sensors, massive distributed computing, mechatronics, at-scale data lake technology, data science, business intelligence (BI), and deep machine learning in health informatics.

Andre maintains and incubates the Rapid Information Factory data processing framework. He is active in developing next-generation data processing frameworks and mechatronics engineering with over 36 years of global experience in complex data processing, software development, and system architecture. He is an expert data scientist, doctoral trainer, corporate consultant, and speaker/author/columnist on data science, business intelligence, machine learning, decision science, data engineering, distributed computing, and at-scale data lakes. He has expert-level industrial experience in various areas (finance, telecommunication, manufacturing, government service, public safety and health informatics).

Andre received his bachelor's degree from North West University at Potchefstroom, his Master of Business Administration (MBA) at University of Manchester, his Master of Business Intelligence and Data Science degree at University of Dundee, and his Doctor of Philosophy at University of St. Andrews.

作者簡介(中文翻譯)

安德烈斯·弗朗索瓦·維爾梅倫（Andreas François Vermeulen）是Sopra-Steria的首席數據科學家和解決方案交付經理，同時擔任聖安德魯斯大學的兼職博士研究員和高級研究項目顧問，專注於未來醫療系統、物聯網（IoT）傳感器、大規模分佈式計算、機電一體化、大規模數據湖技術、數據科學、商業智慧（BI）以及健康信息學中的深度機器學習等概念。

安德烈維護並孵化快速信息工廠數據處理框架。他在開發下一代數據處理框架和機電一體化工程方面活躍，擁有超過36年的全球經驗，專注於複雜數據處理、軟體開發和系統架構。他是一位專家級數據科學家、博士培訓師、企業顧問，以及數據科學、商業智慧、機器學習、決策科學、數據工程、分佈式計算和大規模數據湖的演講者/作者/專欄作家。他在多個領域（金融、電信、製造、政府服務、公共安全和健康信息學）擁有專家級的工業經驗。

安德烈在波切夫斯特魯姆的西北大學獲得學士學位，在曼徹斯特大學獲得工商管理碩士（MBA），在鄧迪大學獲得商業智慧與數據科學碩士學位，並在聖安德魯斯大學獲得哲學博士學位。

類似商品

最後瀏覽商品 (6)