Machine Learning with oneAPI 1st Edition

oneAPI is a unified programming model and software development kit (SDK) from Intel that empowers software developers to generate high-performance applications that can run on different devices, comprising CPUs, GPUs, FPGAs, and other accelerators. It lets developers write code once and deploy it on multiple architectures, decreasing the complexity as well as the cost and time of software development. One of the significant strengths of oneAPI is in its capability to support an eclectic range of devices and architectures, including artificial intelligence, high-performance computing, and data analytics. Along with libraries, tools, and compilers, oneAPI makes it cool for developers to create optimized code for an extensive variety of applications, making it an indispensable tool for any developer who wants to create high-performance software and reap the benefit of the latest hardware technologies. The versatility of oneAPI, by means of appropriate theory and practical implementation with the latest tools in machine learning, has been presented in a simple yet effective way in this book that caters to everyone's needs. Come on, let's unleash the true power of our code across varied architectures!

oneAPI是英特爾提供的統一編程模型和軟體開發工具包（SDK），使軟體開發人員能夠生成可在不同設備上運行的高性能應用程序，包括CPU、GPU、FPGA和其他加速器。它讓開發人員只需編寫一次代碼，就可以在多種架構上部署，減少軟體開發的複雜性、成本和時間。oneAPI的一個重要優勢在於它能夠支持各種設備和架構，包括人工智能、高性能計算和數據分析。除了庫、工具和編譯器之外，oneAPI還使開發人員能夠為各種應用程序創建優化代碼，成為任何想要創建高性能軟體並受益於最新硬體技術的開發人員不可或缺的工具。本書以簡單而有效的方式展示了oneAPI的多功能性，並結合了機器學習中的最新工具的適當理論和實際實施，以滿足所有人的需求。讓我們一起釋放代碼在不同架構上的真正力量吧！

Dr. Shriram K Vasudevan, Lead - Technology Evangelist, Asia Pacific and Japan, Intel India Pvt. Ltd., Dr. Shriram has over 16 years of experience in the Industry and Academia together. He holds a Doctorate in embedded systems. He has authored / co-authored 45 books for various publishers including Taylor and Francis, Oxford University Press, and Wiley. He also has been granted 12 patents so far. Shriram is a hackathon enthusiast and has been awarded by Harvard University, AICTE, CII, Google, TDRA Dubai, and a lot more. He has published more than 150 research articles. He was associated with L&T Technology Services before joining intel as a Lead - Technology Evangelist, APJ. Shriram Vasudevan runs a YouTube channel in his name which has more than 38k subscribers and maintains a wide range of playlists on varied topics. Dr. Shriram is a public speaker too and has participated in multiple training events. He is oneAPI certified Instructor, ACM Distinguished Speaker, NVIDIA Certified and NASSCOM Prime Ambassador.

Mr. Nitin Vamsi Dantu, Founder and CEO - Quadran AI, Intel Innovator, USA. Mr. Nitin is a young and dynamic AI Engineer with a Computer Science background. He is one of the youngest CEOs in the country. He is the founder CEO of Quadron AI and is working on Deep Learning based Healthcare Solutions. His focus is towards building affordable and easy to use health care solutions. He has a dozen papers published in top journals and conferences. He is also a winner of TDRA Award from Govt. of UAE. He received awards from P&G, CITI, AWS and so many other top-notch companies for his skillset and contribution. He is currently pursuing research at Northeastern University in the USA.

Ms. Sini Raj Pulari, Professor and Tutor, Bahrain Polytechnic, Bahrain. Prof. Sini is a Tutor in Government University [Bahrain Polytechnic, Faculty of EDICT] in The Kingdom of Bahrain with 15 years of experience in various reputed Indian universities and Industry by making contributions 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 areas of Natural Language Processing, Recommender systems, Information Retrieval, Deep Learning and Machine Learning, Authored 20 plus Scopus Indexed Publications. She has co-authored Deep Learning: A Comprehensive Guide [CRC press / Taylor and Francis Publications]. Sini has Developed and guided around 40 + UG and PG projects, Active member in the board of curriculum development for various universities. Delivered 40+ Invited lectures on the Applications and emerging trends in a variety of upcoming technological and research advancements. Speaker for workshop in "AI for ALL "Workshop on the topic "Understanding Deep Learning Algorithm - Convolution Neural Networks with Real Time Applications, Using Python, Keras and Tensor flow", Participated in MENA Hackathon group Discussion on the topic ", innovating tech-based solutions for challenges in the healthcare and energy, environment & sustainability sectors " which was in partnership with Tamkeen, powered by Amazon Web Services (AWS) and Elijah Coaching and Consulting Services. Completed various reputed certifications like Apple Certified Trainer, SCJP, Oracle Certified Associate, APQMR-Quality Matters etc.

Dr. T S Murugesh possesses a vast experience of nearly 23 years in academia in the field 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 almost 19 years with the Department of Electronics and Instrumentation Engineering, belonging to the Faculty of Engineering and Technology, Annamalai University, he is currently working as an Associate Professor in the Department of Electronics and Communication Engineering, Government College of Engineering Srirangam, Tiruchirappalli, Tamil Nadu, India. To his credit, he has delivered four talks at the International level conferences of high repute and has also delivered invited lectures at National level in various institutions like Sastra University, Annamalai University, Manakula Vinayagar Institute of Technology, Puducherry, Government College of Engineering Srirangam, Madurai Institute of Engineering and Technology, P.A. College of Engineering and Technology, Pollachi, Viswajyothi College of Engineering and Technology Kerala, Mahatma Gandhi University, Kottayam, Kerala etc. He has also delivered invited lectures in several Faculty Development Programmes organized by the Faculty Training Centre, Government College of Technology, Coimbatore in association with Government College of Engineering Thanjavur, Government College of Engineering Salem, and also in a national-level webinar conducted on behalf of "Unnat Bharat Abhiyan", a flagship programme of Ministry of Education, Government of India. To his credit, he has around three-dozen peer-reviewed indexed publications including Springer, Springer Nature, Elsevier, Wiley, Inderscience etc., has organized a one-week AICTE Training And Learning (ATAL) Academy sponsored FDP, conducted few workshops at national level, is a reviewer in IEEE, Inderscience and many other peer-reviewed journals. He has acted as a Primary Evaluator for the Government of India's Smart India Hackathon 2022 (Software & Hardware Edition) as well as Toycathon 2021 and also as a Judge in the Grand Finale for the Government of India's "Toycathon 2021", an inter-ministerial initiative organized by Ministry of Education's Innovation Cell with support from AICTE (All India Council for Technical Education). He is a hackathon enthusiast and his team has won the FIRST Prize in the 2022, Cloud Fest Hackathon 2 presented by Google Cloud as well as in the DigitalGov Hack, the Hackathon by WSIS Forum 2023, and Digital Government Authority, Saudi Arabia and also bagged the second Prize in the IFG x TA Hub Hackathon 2022. He is a certified Mentor under the "National initiative for Technical Teachers Training" programme conducted by All India Council for Technical Education (AICTE), New Delhi & National Institute of Technical Teachers Training and Research, Chennai and also 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. He is also a reviewer of B.E / B.Tech Technical Books in Regional Language scheme of AICTE coordinated by the Centre for Development of Tamil in Engineering and Technology, Anna University, Tamil Nadu, India. He has mentored his college teams for Smart India Hackathon, among which one team won the First Prize for the Problem Statement "Employment tracking and traceability system - Organized sector", given by Ministry of Labour Employment, Government of India during the Grand Finale of Smart India Hackathon 2022 Software Edition conducted during August 2022. He has been appreciated by Huawei for the academic collaboration and was issued Huawei developers certification. He is a Conference Committee Member as well as a Publishing Committee Member in the International Association of Applied Science and Technology. He holds the editorial board membership of American Journal of Embedded Systems and Applications. He is also a Technical Program Committee member for the Springer Sponsored, Scopus indexed, International Conference on Recent Developments in Cyber Security (ReDCySec-2023)" conducted by Center for Cyber Security and Cryptology (CCSC), Sharda University, Greater Noida, Uttar Pradesh, India. He has authored 3 books for CRC Press, Taylor & Francis Group (UK) and authoring a book each for Nova Science Publishers, USA and CRC Press respectively. He also holds the professional body membership of Institution of Engineers (India).

Dr. Shriram K Vasudevan，Intel India Pvt. Ltd. 亞太區和日本技術傳教士領導人。Dr. Shriram 在工業和學術界擁有超過16年的經驗。他擁有嵌入式系統的博士學位。他為包括Taylor and Francis、Oxford University Press和Wiley在內的各個出版商撰寫/合著了45本書籍。他迄今已獲得12項專利。Shriram 是一位黑客馬拉松愛好者，並曾獲得哈佛大學、AICTE、CII、Google、TDRA Dubai等機構的獎項。他發表了150多篇研究文章。在加入 Intel 之前，他曾在L&T Technology Services任職，擔任技術傳教士領導人，亞太區。Shriram Vasudevan 開設了一個以他名字命名的 YouTube 頻道，擁有超過38,000名訂閱者，並維護了各種主題的播放列表。Dr. Shriram 也是一位公開演講者，並參加了多個培訓活動。他是 oneAPI 認證講師、ACM 杰出演講者、NVIDIA 認證和 NASSCOM Prime 大使。

Mr. Nitin Vamsi Dantu，Quadran AI 創始人兼首席執行官，Intel Innovator，美國。Mr. Nitin 是一位年輕有活力的人工智慧工程師，具有計算機科學背景。他是該國最年輕的首席執行官之一。他是 Quadron AI 的創始人兼首席執行官，致力於基於深度學習的醫療解決方案。他的重點是建立負擔得起且易於使用的醫療解決方案。他在頂級期刊和會議上發表了十幾篇論文。他還獲得了阿聯酋政府的 TDRA 獎項。他因其技能和貢獻而獲得了來自宝洁、花旗、AWS等眾多頂尖公司的獎項。他目前在美國東北大學進行研究。

Ms. Sini Raj Pulari，巴林理工學院教授和導師，巴林。Sini 教授是巴林王國政府大學（巴林理工學院，EDICT學院）的導師，擁有在印度多所知名大學和工業界的15年經驗，為計算機科學工程領域的教學做出貢獻並進行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，撰寫了20多篇 Scopus 索引的論文。她合著了《深度學習：一個全面指南》（CRC出版社/Taylor and Francis出版社）。Sini 已經開發和指導了40多個本科和研究生項目，是各大學課程開發委員會的活躍成員。她在各種即將出現的技術和研究進展的應用和新趨勢方面發表了40多場邀請演講。她是“AI for ALL”研討會的講者，該研討會的主題是“理解深度學習算法-卷積神經網絡及其實時應用，使用Python、Keras和TensorFlow”，並參與了MENA黑客馬拉松小組討論，該討論是與Tamkeen合作，由Amazon Web Services（AWS）和Elijah Coaching and Consulting Services提供支持的，旨在創新技術解決醫療、能源、環境和可持續發展等領域的挑戰。她還完成了蘋果認證培訓師、SCJP、Oracle 認證協會、APQMR-Quality Matters等多個知名認證。

Dr. T S Murugesh 在模擬和數字電子學、自動化和控制、物聯網、系統設計、圖像處理、人工智能、機器學習、儀器和計算生物工程等領域擁有近23年的豐富經驗。在長達19年的時間裡，他在安南瑪麗大學工程技術學院的電子與儀器工程系任職，目前擔任該校電子與通信工程系的副教授。