Practical Machine Learning: A Beginner's Guide with Ethical Insights
暫譯: 實用機器學習：初學者指南與倫理洞察
Nyamawe, Ally S., Mjahidi, Mohamedi M., Nnko, Noe E.
- 出版商: CRC
- 出版日期: 2025-02-13
- 售價: $2,510
- 貴賓價: 9.5 折 $2,385
- 語言: 英文
- 頁數: 214
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032770295
- ISBN-13: 9781032770291
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相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
商品描述
The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field.
It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application domains. It demonstrates the fundamental techniques involved in data collection, integration, cleansing, transformation, development, and deployment of machine learning models. This book emphasizes the importance of integrating responsible and explainable AI into machine learning models, ensuring these principles are prioritized rather than treated as an afterthought. To support learning, this book also offers information on accessing additional machine learning resources such as datasets, libraries, pre-trained models, and tools for tracking machine learning models. This is a core resource for students and instructors of machine learning and data science looking for a beginner-friendly material which offers real-world applications and takes ethical discussions into account.
The Open Access version of this book, available at http: //www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
商品描述(中文翻譯)
本書為初學者提供了一個易於理解且全面的機器學習入門，幫助他們掌握該領域所需的基本技能和技術。
本書使初學者能夠構建實用的、基於機器學習的現實世界解決方案，涵蓋多種應用領域。它展示了數據收集、整合、清理、轉換、開發和部署機器學習模型所涉及的基本技術。本書強調將負責任和可解釋的人工智慧整合進機器學習模型的重要性，確保這些原則被優先考慮，而不是視為事後的考量。為了支持學習，本書還提供了有關訪問額外機器學習資源的信息，例如數據集、庫、預訓練模型以及用於追蹤機器學習模型的工具。本書是機器學習和數據科學學生及教師的核心資源，適合尋找友好的初學者材料，並考慮到現實世界應用和倫理討論。
本書的開放存取版本可在 http://www.taylorfrancis.com 獲得，並已根據創用CC署名-非商業性-禁止改作 (CC-BY-NC-ND) 4.0 授權條款提供。
作者簡介
Ally S. Nyamawe is a computer scientist with over 15 years of experience in academia. He holds a PhD in Computer Science and Technology from Beijing Institute of Technology (2020), and his research interest mainly focuses on AI applications in Software Engineering. Nyamawe is a senior lecturer in computer science at the University of Dodoma, Tanzania. Nyamawe's recent work focused on contributing to developing AI-driven innovations that address social challenges and AI uptake for sustainable development in Africa. Nyamawe has been working on different research projects committed to fostering the application of AI for social good and leveraging coding and algorithmic skills in addressing real-world problems. Nyamawe has extensive experience in leading projects with support from the World's renowned funders, including IDRC, Sida, UNESCO-TWAS, and the EU Erasmus+ Programme. Nyamawe actively contributes to the academic community through publications and participation in renowned conferences and international forums. He has served on the program committees for prestigious conferences, including the 37th IEEE/ACM International Conference on Automated Software Engineering, the 11th International Workshop on Software and Systems Traceability, and the 1st International Conference on the Advancements of Artificial Intelligence in African Context (AAIAC 2023). His recent recognition includes a 2022 recipient of the Seed Grant for New African Principal Investigators awarded by The World Academy of Sciences under UNESCO funding.
Mohamedi M. Mjahidi (PhD) is a Lecturer at the Department of Computer Science and Engineering (DoCSE), College of Informatics and Virtual Education (CIVE), the University of Dodoma (UDOM), Dodoma, Tanzania. He graduated from the University of Dar es Salaam (UDSM) in 2006 with a BSc. in Computer Science and completed his MSc. in Telecommunication Engineering at UDOM in 2011. He then completed his Ph.D. in Computer Engineering at the Gazi University, Ankara, Turkey, in 2020. His research interests include Artificial Intelligence, Machine Learning, and Computer and Mobile Networks. At the time of writing this book, Mjahidi is serving as the Lab and Training Coordinator for AI4D Research Lab.
Noe Elisa currently serves as the acting Director of ICT at the University of Dodoma. He is an experienced cybersecurity, Artificial Intelligence (AI), and data science researcher/engineer, boasting over eleven (11) years of experience in telecommunication, networking, software, and web applications security. He specializes in the design and implementation of AI models, particularly for detecting anomalies in computer networks. Additionally, he has expertise in using blockchain technology to develop secure and privacy-preserving decentralized systems. His PhD research at Northumbria University, UK, focused on exploiting blockchain technology and Artificial Immune Systems (AIS) to create a decentralized, secure, and privacy-preserving e-Government system for enforcing data protection and trust. During his master's degree studies in India in 2014, he received professional training in ethical hacking, Linux server administration, Android mobile application development, CCNA, and web application programming in JAVA. One of his notable contributions to AI and academic research is the development of a new general-purpose multi-class classifier based on the Dendritic Cell Algorithm (McDCA), which is currently under review by the IEEE Transactions on Neural Networks and Learning Systems journal. His current research and practical endeavors focus on leveraging African-origin datasets to develop AI-powered solutions that address privacy concerns related to data breaches and unlawful access to personal information.
Salim Diwani is a highly skilled and experienced lecturer at the University of Dodoma, specializing in machine learning and artificial intelligence for more than twelve years. Diwani, acknowledged as a senior expert in various fields, has made noteworthy contributions to both academia and practical applications. At the University of Dodoma, he has fostered a vibrant atmosphere in which students have developed and put into practice cutting-edge artificial intelligence solutions across various industries, including agriculture and healthcare. Diwani not only holds a position at the institution but also acts as the coordinator for the Healthcare Coordination Unit at AI4D Research Lab. He is responsible for supervising a group of committed professionals who are dedicated to utilizing AI technologies to tackle urgent healthcare issues. Diwani's leadership includes the responsibility of hosting graduate students supported by AI4D Research Lab. Diwani is leading the Healthcare Coordination Unit in developing AI solutions specifically designed for the local requirements of the Anglophone region in Africa. Diwani and his colleagues are closely collaborating with the Ministry of Health in the Government of Tanzania to build an AI policy in the health sector. This effort aims to establish a favorable setting for the acceptance and assimilation of AI technologies in healthcare. Diwani and his colleagues are leading the way in utilizing AI to transform healthcare delivery and address intricate healthcare issues in Africa and beyond.
Godbless G. Minja is an Assistant Lecturer in the Department of Computer Science and Engineering (DoCSE) at the University of Dodoma (UDOM) in Tanzania. He completed a B.Sc. in Computer Science at the University of Dar es Salaam (UDSM) in Tanzania and an M.Sc. in Cyber Security at the University of Birmingham in the United Kingdom (UK). He is currently pursuing a Ph.D. in Information and Communication Science and Engineering (ICSE) at the Nelson Mandela African Institution of Science and Technology (NM-AIST) in Tanzania.
Kulwa Malyango is a research assistant and software developer at the AI4D Research Lab. He has a degree in computer science from the University of Dodoma in Tanzania. His research interests are in the application of artificial intelligence in the digital economy. Currently pursuing a master's degree in computer science, Kulwa is expanding his expertise in software development and artificial intelligence by working with esteemed researchers at the AI4D Research Lab. His main goal is to contribute meaningful research and practical solutions that can positively impact the digital economy, both locally and globally. He envisions a future where AI technologies are responsibly integrated into various sectors to improve people's lives.
作者簡介(中文翻譯)
**Ally S. Nyamawe** 是一位擁有超過 15 年學術經驗的計算機科學家。他於 2020 年獲得北京理工大學的計算機科學與技術博士學位，研究興趣主要集中在人工智慧（AI）在軟體工程中的應用。Nyamawe 是坦尚尼亞多多馬大學的計算機科學高級講師。他最近的工作專注於開發以 AI 驅動的創新，以應對社會挑戰以及在非洲推動可持續發展的 AI 應用。Nyamawe 一直致力於不同的研究項目，促進 AI 在社會公益中的應用，並利用編程和算法技能解決現實世界的問題。Nyamawe 在領導項目方面擁有豐富的經驗，並獲得了來自世界知名資助機構的支持，包括 IDRC、Sida、UNESCO-TWAS 和歐盟 Erasmus+ 計劃。Nyamawe 積極通過發表論文和參加知名會議及國際論壇來貢獻學術界。他曾擔任多個著名會議的程序委員會成員，包括第 37 屆 IEEE/ACM 自動化軟體工程國際會議、第 11 屆國際軟體與系統可追溯性研討會，以及第 1 屆非洲背景下人工智慧進展國際會議（AAIAC 2023）。他最近的榮譽包括 2022 年獲得的由世界科學院在 UNESCO 資助下頒發的新非洲首席研究員種子資助。
**Mohamedi M. Mjahidi**（博士）是坦尚尼亞多多馬大學（UDOM）資訊與虛擬教育學院（CIVE）計算機科學與工程系（DoCSE）的講師。他於 2006 年在達累斯薩拉姆大學（UDSM）獲得計算機科學學士學位，並於 2011 年在 UDOM 完成電信工程碩士學位。隨後，他於 2020 年在土耳其安卡拉的 Gazi 大學獲得計算機工程博士學位。他的研究興趣包括人工智慧、機器學習以及計算機和移動網絡。在撰寫本書時，Mjahidi 擔任 AI4D 研究實驗室的實驗室和培訓協調員。
**Noe Elisa** 目前擔任坦尚尼亞多多馬大學資訊與通訊技術（ICT）代理主任。他是一位經驗豐富的網絡安全、人工智慧（AI）和數據科學研究員/工程師，擁有超過 11 年的電信、網絡、軟體和網頁應用安全經驗。他專注於 AI 模型的設計和實施，特別是在計算機網絡中檢測異常。此外，他在使用區塊鏈技術開發安全和保護隱私的去中心化系統方面也具有專業知識。他在英國諾森比亞大學的博士研究專注於利用區塊鏈技術和人工免疫系統（AIS）創建一個去中心化、安全且保護隱私的電子政府系統，以強化數據保護和信任。在 2014 年於印度攻讀碩士學位期間，他接受了道德駭客、Linux 伺服器管理、Android 移動應用開發、CCNA 和 JAVA 網頁應用程式編程的專業培訓。他對 AI 和學術研究的一項顯著貢獻是基於樹突細胞算法（McDCA）開發的一種新的通用多類別分類器，目前正在 IEEE Transactions on Neural Networks and Learning Systems 期刊審查中。他目前的研究和實踐工作專注於利用非洲來源的數據集開發 AI 驅動的解決方案，以解決與數據洩露和非法訪問個人信息相關的隱私問題。
**Salim Diwani** 是坦尚尼亞多多馬大學的一位高技能且經驗豐富的講師，專注於機器學習和人工智慧，已有超過 12 年的經驗。Diwani 被認可為各個領域的資深專家，對學術界和實踐應用做出了顯著貢獻。在多多馬大學，他培養了一個充滿活力的氛圍，學生們在各行各業（包括農業和醫療保健）開發並實踐尖端的人工智慧解決方案。Diwani 不僅在該機構任職，還擔任 AI4D 研究實驗室的醫療保健協調單位協調員，負責監督一組致力於利用 AI 技術解決緊迫醫療問題的專業人員。Diwani 的領導工作包括主持由 AI4D 研究實驗室支持的研究生。Diwani 正在領導醫療保健協調單位，開發專門針對非洲英語區當地需求的 AI 解決方案。Diwani 和他的同事們正與坦尚尼亞政府的衛生部密切合作，建立健康領域的 AI 政策，旨在為 AI 技術在醫療保健中的接受和融合建立良好的環境。Diwani 和他的同事們在利用 AI 改變醫療保健交付和解決非洲及其他地區複雜的醫療問題方面走在前列。
**Godbless G. Minja** 是坦尚尼亞多多馬大學（UDOM）計算機科學與工程系（DoCSE）的助理講師。他在坦尚尼亞達累斯薩拉姆大學（UDSM）獲得計算機科學學士學位，並在英國伯明翰大學獲得網絡安全碩士學位。他目前正在坦尚尼亞納爾遜·曼德拉非洲科學與技術學院（NM-AIST）攻讀信息與通信科學與工程（ICSE）博士學位。
**Kulwa Malyango** 是 AI4D 研究實驗室的研究助理和軟體開發人員。他擁有坦尚尼亞多多馬大學的計算機科學學位。他的研究興趣在於人工智慧在數位經濟中的應用。目前正在攻讀計算機科學碩士學位的 Kulwa，通過與 AI4D 研究實驗室的知名研究人員合作，擴展他在軟體開發和人工智慧方面的專業知識。他的主要目標是貢獻有意義的研究和實用解決方案，對當地和全球的數位經濟產生積極影響。他展望未來，希望 AI 技術能夠負責任地整合到各個領域，以改善人們的生活。
