Machine Learning: A Comprehensive Beginner's Guide

機器學習是一個動態且快速擴展的領域，專注於創建能夠使計算機識別模式、進行預測並不斷提升性能的演算法。它使計算機能夠從數據和經驗中學習，並在沒有明確編程的情況下做出決策。對於學習者來說，掌握機器學習的基本原理為建立穩健且準確的模型打開了無限可能的大門。在不斷演變的機器學習領域中，數據集在塑造其未來方面扮演著關鍵角色。隨著 oneAPI 的推出，該領域已經發生了革命性的變化，oneAPI 提供了一個跨不同架構（包括 CPU、GPU、FPGA 和加速器）的統一編程模型，促進了一個高效且可攜帶的編程環境。採用這一統一模型使從業者能夠構建高效且可擴展的機器學習解決方案，這標誌著跨架構開發的一個重要進展。深入這個迷人的領域，按照本書中概述的逐步方法掌握機器學習概念，並為其激動人心的未來做出貢獻。

Akshay B R, a final-year BTech computer science engineering student and an Intel student ambassador, is a passionate data science enthusiast. He primarily works on problems involving disease prediction and developing healthcare systems. He has published multiple articles in a variety of top journals and conferences. He is also a freelance machine learning tutor and has trained around 2000+ students.

Sini Raj Pulari is Professor and Tutor currently working at the Government University (Bahrain Polytechnic, Faculty of EDICT) in the Kingdom of Bahrain. She has 16 years of teaching experience at various Indian universities and in industry, contributing to the teaching field and carrying out activities to maintain and develop research and professional activities relevant to computer science engineering. Her research interests include natural language processing, recommender systems, information retrieval, deep learning, and machine learning. She has authored more than 20 Scopus Indexed Publications and co-authored Deep Learning: A Comprehensive Guide (CRC Press/Taylor & Francis). Sini has developed and guided more than 40 undergraduate and postgraduate projects, and she is an active member of boards of curriculum development for various universities. Sini has delivered more than 40 invited lectures on applications and emerging trends in a variety of technological and research advancements. She was a speaker at the workshops AI for All, Understanding Deep Learning Algorithms - Convolution Neural Networks with Real Time Applications, Using Python, Keras and Tensor Flow. She has also participated in the MENA Hackathon group discussion on "innovating tech-based solutions for challenges in the healthcare and energy, environment and sustainability sectors," which was in partnership with Tamkeen, powered by Amazon Web Services (AWS) and Elijah Coaching and Consulting Services. Sini has completed various certifications such as Apple Certified Trainer, SCJP, Oracle Certified Associate, APQMR-Quality Matters, etc.

T S Murugesh has 24 years of experience in academia in the fields of analog and digital electronics, automation and control, IoT, system design, image processing, artificial intelligence, machine learning, instrumentation, and computational bio-engineering. After a tenure of 19 years with the Department of Electronics and Instrumentation Engineering, Faculty of Engineering and Technology, Annamalai University, Tamil Nadu, India, he is an Associate Professor in the Department of Electronics and Communication Engineering, Government College of Engineering, Srirangam, Tiruchirappalli, Tamil Nadu, India. He has delivered several talks at international conferences and given more than two dozen invited lectures at the national level at various institutions, including Sastra University, Annamalai University, Mahatma Gandhi University, Kerala, National Institute of Technology, Tiruchirappalli, etc. He has 50+ peer-reviewed indexed papers in journals, including Springer, Springer Nature, Elsevier, Wiley, Inderscience, etc. He has organized faculty development programs at the national level, and he is a reviewer for IEEE, Inderscience and many other peer-reviewed journals. He has coauthored five books for CRC Press/Taylor & Francis (UK) and is currently co-authoring a book for Nova Science Publishers, USA and two books for CRC Press. Dr. Murugesh has donned the role of Mentor, Primary Evaluator for the Government of India's Smart India Hackathon 2022, Toycathon2021, Judge in the Grand Finale in Toycathon 2021, evaluator in The Kavach2023 Cybersecurity Hackathon, organized by the Ministry of Home Affairs (MHA) in collaboration with the Ministry of Education's (MoE) Innovation Cell, Government of India. He is a hackathon enthusiast, and his team has won first prize in the CloudFest Hackathon 2 presented by Google Cloud, DigitalGov Hack, the Hackathon by WSIS Forum 2023 and Digital Government Authority, Saudi Arabia. His team has also won the MSME Idea Hackathon 2.0 and received 15 Lakhs funding from the Ministry of Micro, Small and Medium Enterprises (MSME) Innovative Scheme, Government of India, as well as the Second Prize in the IFGxTA Hub Hackathon 2022. Dr. Murugesh is a certified Intel oneAPI Innovator, Mentor under the National Initiative for Technical Teachers Training programme from AICTE, and the National Institute of Technical Teachers Training and Research, and a Certified Microsoft Educator Academy Professional. He is also a Master Assessor for a Naan Mudhalvan Program, 2023, devised by the Government of Tamil Nadu, a reviewer of BE/BTech technical books in the regional language scheme of AICTE, coordinated by the Centre for Development of Tamil in Engineering and Technology, Anna University, Tamil Nadu, India. Huawei has recognized Dr. Murugesh for his academic collaboration. He is a Conference Committee Member, Publishing Committee Member of the International Association of Applied Science and Technology. He holds editorial board membership with the American Journal of Embedded Systems and Applications. He has also served as Technical Program Committee Member for a Springer-sponsored, Scopus-Indexed International Conference conducted at Sharda University, India, and he is a Scientific Committee Member for an International Conference conducted at the Sultanate of Oman and a chairperson of an International Hybrid Conference at Mahatma Gandhi University Kerala, India. Dr. Murugesh has held various academic responsibilities, such as Chairman for Anna University Central Valuation, Chief Superintendent for the Anna University Theory Examinations, and the Exam Cell Coordinator for his institution. He also holds professional body membership in the Institution of Engineers (India).

Shriram K Vasudevan has more than 17 years of experience in industry and academia. He earned a PhD in embedded systems. He has authored or co-authored 45 books for various publishers, including Taylor & Francis, Oxford University Press, and Wiley. He also has been granted 13 patents so far. Shriram is a hackathon enthusiast and has been awarded by Harvard University, AICITE, CII, Google, TDRA Dubai, the Government of Saudi Arabia, the Government of India, and many more. He has published more than 150 research articles. He was associated with L&T Technology Services before joining Intel in a current role. Dr. Vasudevan operates a YouTube channel in his name, which has more than 41,000 subscribers and maintains a wide range of playlists on varied topics. He is a public speaker as well. Dr. Vasudevan is a oneAPI-Certified Instructor, Intel oneAPI-Certified Instructor, Google Cloud Ambassador, Streamlit Education Ambassador, AWS Ambassador, ACM Distinguished Speaker and NASSCOM Prime Ambassador. He is a Fellow IEI, Fellow IETE and Senior Member IEEE.

Akshay B R 是一名大四的 BTech 計算機科學工程學生，也是 Intel 的學生大使，他對數據科學充滿熱情。他主要從事疾病預測和開發醫療保健系統的相關問題。他在多個頂尖期刊和會議上發表了多篇文章。他還是一名自由職業的機器學習導師，已培訓超過 2000 名學生。

Sini Raj Pulari 是巴林王國政府大學（巴林理工學院，EDICT 學院）的教授和導師。她在多所印度大學和業界擁有 16 年的教學經驗，為教學領域做出了貢獻，並進行活動以維護和發展與計算機科學工程相關的研究和專業活動。她的研究興趣包括自然語言處理、推薦系統、信息檢索、深度學習和機器學習。她已發表超過 20 篇 Scopus 索引的出版物，並共同撰寫了《Deep Learning: A Comprehensive Guide》（CRC Press/Taylor & Francis）。Sini 已開發並指導超過 40 個本科和研究生項目，並且是多所大學課程發展委員會的活躍成員。Sini 在各種技術和研究進展的應用及新興趨勢方面發表了超過 40 場受邀講座。她曾在 AI for All、Understanding Deep Learning Algorithms - Convolution Neural Networks with Real Time Applications、Using Python, Keras and Tensor Flow 等工作坊中擔任講者。她還參加了 MENA Hackathon 的小組討論，主題為「為醫療保健、能源、環境和可持續性領域的挑戰創新基於技術的解決方案」，該活動與 Tamkeen 合作，由 Amazon Web Services (AWS) 和 Elijah Coaching and Consulting Services 提供支持。Sini 完成了多項認證，如 Apple Certified Trainer、SCJP、Oracle Certified Associate、APQMR-Quality Matters 等。

T S Murugesh 在學術界擁有 24 年的經驗，專注於類比和數字電子學、自動化與控制、物聯網、系統設計、圖像處理、人工智慧、機器學習、儀器學和計算生物工程等領域。在印度泰米爾納德邦安納馬萊大學電子與儀器工程系工作了 19 年後，他目前是印度泰米爾納德邦斯里蘭甘政府工程學院電子與通信工程系的副教授。他在國際會議上發表了多次演講，並在各大機構（包括 Sastra University、Annamalai University、Mahatma Gandhi University、Kerala、National Institute of Technology、Tiruchirappalli 等）進行了超過兩打的受邀講座。他在包括 Springer、Springer Nature、Elsevier、Wiley、Inderscience 等期刊上發表了 50 以上的同行評審索引論文。他在國家層面組織了教職員發展計劃，並擔任 IEEE、Inderscience 及其他多個同行評審期刊的審稿人。他為 CRC Press/Taylor & Francis (UK) 共同撰寫了五本書，目前正在為 Nova Science Publishers (USA) 和 CRC Press 共同撰寫兩本書。Murugesh 博士擔任了印度政府 Smart India Hackathon 2022 的導師、主要評估員，Toycathon 2021 的評審，Toycathon 2021 的總決賽評審，以及由印度內政部 (MHA) 與教育部 (MoE) 創新小組合作舉辦的 Kavach2023 網絡安全黑客松的評估員。他是一位黑客松愛好者，他的團隊在 Google Cloud 提供的 CloudFest Hackathon 2、DigitalGov Hack、WSIS Forum 2023 的黑客松和數位政府機構中獲得了第一名。