Machine Learning: A Comprehensive Beginner's Guide
暫譯: 機器學習：全面的初學者指南

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 提供了一個統一的編程模型，適用於不同的架構，包括 CPU、GPU、FPGA 和加速器，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 是一名大四的計算機科學工程學生，也是英特爾的學生大使，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。他在多個頂級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，培訓了超過2000名學生。

Sini Raj Pulari 是巴林王國巴林理工學院（Bahrain Polytechnic, Faculty of EDICT）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《深度學習：綜合指南》（Deep Learning: A Comprehensive Guide，CRC Press/Taylor & Francis）。Sini已經開發並指導了超過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上發表了超過40場受邀講座。她曾在工作坊「AI for All」、「理解深度學習算法 - 卷積神經網絡及其實時應用」中擔任講者，使用Python、Keras和TensorFlow。她還參加了MENA黑客馬拉松小組討論，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，由亞馬遜網絡服務（AWS）和Elijah Coaching and Consulting Services提供支持。Sini已完成多項認證，如Apple Certified Trainer、SCJP、Oracle Certified Associate、APQMR-Quality Matters等。

T S Murugesh 在模擬和數字電子學、自動化與控制、物聯網、系統設計、圖像處理、人工智能、機器學習、儀器學和計算生物工程等領域擁有24年的學術經驗。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19年後，他目前是印度泰米爾納德邦斯里蘭卡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，並在各種機構（包括Sastra University、Annamalai University、Mahatma Gandhi University、Kerala、National Institute of Technology、Tiruchirappalli等）提供了超過兩打的受邀講座。他在Springer、Springer Nature、Elsevier、Wiley、Inderscience等期刊上發表了50多篇同行評審的索引論文。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（英國）共同撰寫了五本書，並目前正在為美國Nova Science Publishers和兩本CRC Press的書籍共同撰寫。Murugesh博士擔任印度政府「智慧印度黑客馬拉松2022」的導師、主要評估員，Toycathon2021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網絡安全黑客馬拉松的評估員。他是一名黑客馬拉松愛好者，他的團隊在由Google Cloud主辦的CloudFest Hackathon 2、DigitalGov Hack、WSIS Forum 2023和沙烏地阿拉伯數位政府當局的黑客馬拉松中獲得了第一名。他的團隊還贏得了MSME Idea Hackathon 2.0，並從印度微型、小型和中型企業部（MSME）創新計劃中獲得了150萬盧比的資金，以及在IFGxTA Hub Hackathon 2022中獲得第二名。Murugesh博士是認證的Intel oneAPI創新者，AICTE的技術教師培訓計劃的導師，國家技術教師培訓與研究所的認證專業人士，以及認證的微軟教育者學院專業人士。他還是2023年由泰米爾納德邦政府制定的Naan Mudhalvan計劃的主考官，AICTE區域語言計劃中BE/BTech技術書籍的審稿人，並由安納大學的工程與技術泰米爾發展中心協調。華為已經認可Murugesh博士的學術合作。他是國際應用科學與技術協會的會議委員會成員和出版委員會成員。他還擔任《美國嵌入式系統與應用期刊》的編輯委員會成員。他曾擔任在印度Sharda University舉辦的Springer贊助的Scopus索引國際會議的技術程序委員會成員，並且是阿曼蘇丹國舉辦的國際會議的科學委員會成員，以及在印度喀拉拉邦的Mahatma Gandhi University舉辦的國際混合會議的主席。Murugesh博士擔任過多項學術職責，如安納大學中央評估的主席、安納大學理論考試的首席監考員，以及其機構的考試小組協調員。他還是印度工程師協會的專業機構成員。

Shriram K Vasudevan 在業界和學術界擁有超過17年的經驗。他獲得了嵌入式系統的博士學位。他為多家出版商撰寫或共同撰寫了45本書，包括Taylor & Francis、Oxford University Press和Wiley。他至今已獲得13項專利。Shriram是一名黑客馬拉松愛好者，曾獲得哈佛大學、AICITE、CII、Google、TDRA Dubai、沙烏地阿拉伯政府、印度政府等多個機構的獎項。他發表了超過150篇研究文章。在加入英特爾之前，他曾與L&T Technology Services合作。Vasudevan博士經營著一個以他名字命名的YouTube頻道，擁有超過41,000名訂閱者，並維護各種主題的播放列表。他也是一名公共演講者。Vasudevan博士是oneAPI認證講師、Intel oneAPI認證講師、Google Cloud大使、Streamlit教育大使、AWS大使、ACM傑出講者和NASSCOM Prime大使。他是IEI院士、IETE院士和IEEE高級會員。