Machine Learning with oneAPI 1st Edition
暫譯: 使用 oneAPI 的機器學習 第1版
Vasudevan, Shriram K., Dantu, Nitin Vamsi, Pulari, Sini Raj
- 出版商: CRC
- 出版日期: 2023-09-21
- 售價: $2,360
- 貴賓價: 9.5 折 $2,242
- 語言: 英文
- 頁數: 196
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032493119
- ISBN-13: 9781032493114
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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
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!
商品描述(中文翻譯)
oneAPI 是英特爾推出的一個統一程式設計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效能應用程式,包括 CPU、GPU、FPGA 及其他加速器。它讓開發人員可以一次編寫程式碼,並在多種架構上部署,降低了軟體開發的複雜性、成本和時間。 oneAPI 的一大優勢在於其能夠支持各種不同的設備和架構,包括人工智慧、高效能運算和數據分析。配合庫、工具和編譯器,oneAPI 使開發人員能夠為各種應用程式創建優化的程式碼,成為任何希望創建高效能軟體並利用最新硬體技術的開發人員不可或缺的工具。這本書以簡單而有效的方式展示了 oneAPI 的多功能性,通過適當的理論和最新的機器學習工具的實踐實現,滿足每個人的需求。來吧,讓我們在不同架構上釋放程式碼的真正力量!
作者簡介
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).
作者簡介(中文翻譯)
Dr. Shriram K Vasudevan,英特爾印度私人有限公司亞太及日本技術推廣負責人,擁有超過16年的產業與學術經驗。他擁有嵌入式系統的博士學位,並為多家出版社(包括Taylor and Francis、Oxford University Press和Wiley)撰寫或合著了45本書籍。他至今已獲得12項專利。Shriram是一位黑客馬拉松愛好者,曾獲得哈佛大學、AICTE、CII、Google、TDRA Dubai等多個獎項。他發表了超過150篇研究文章。在加入英特爾擔任亞太及日本技術推廣負責人之前,他曾在L&T科技服務公司工作。Shriram Vasudevan擁有一個以他名字命名的YouTube頻道,擁有超過38,000名訂閱者,並維護著各種主題的播放列表。Dr. Shriram也是一位公共演講者,參加了多個培訓活動。他是oneAPI認證講師、ACM傑出演講者、NVIDIA認證及NASSCOM首席大使。
Nitin Vamsi Dantu先生,Quadran AI創始人兼首席執行官,英特爾創新者,美國。Nitin是一位年輕且充滿活力的AI工程師,擁有計算機科學背景。他是全國最年輕的首席執行官之一,創立了Quadran AI,專注於基於深度學習的醫療解決方案,致力於構建可負擔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多篇論文,並獲得了阿聯酋政府的TDRA獎。他因其技能和貢獻而獲得P&G、CITI、AWS等多家頂尖公司的獎項,目前正在美國東北大學進行研究。
Sini Raj Pulari女士,巴林理工學院教授及導師,巴林。Sini教授在巴林王國的政府大學(巴林理工學院,EDICT學院)擔任導師,擁有15年在多所知名印度大學及產業的經驗,對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,已發表20多篇Scopus索引的出版物。她合著了《深度學習:綜合指南》(CRC Press / Taylor and Francis Publications)。Sini已開發並指導了40多個本科及研究生項目,是多所大學課程發展委員會的活躍成員。她在各種即將到來的技術和研究進展中,發表了40多場邀請講座。她在“AI for ALL”工作坊中擔任講者,主題為“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”,並參加了MENA黑客馬拉松小組討論,主題為“為醫療、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。她完成了多項知名認證,如Apple認證培訓師、SCJP、Oracle認證助理、APQMR-Quality Matters等。
T S Murugesh博士在學術界擁有近23年的豐富經驗,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、儀器和計算生物工程。在安納馬萊大學工程與技術學院的電子與儀器工程系工作近19年後,他目前擔任印度泰米爾納德邦Srirangam政府工程學院電子與通信工程系的副教授。他在國際知名會議上發表了四場演講,並在Sastra大學、安納馬萊大學、Manakula Vinayagar技術學院、Puducherry、Srirangam政府工程學院、Madurai工程與技術學院、P.A.工程與技術學院、Pollachi、Viswajyothi工程與技術學院、喀拉拉邦的Mahatma Gandhi大學等多所機構發表了邀請講座。他還在由政府技術學院與政府工程學院Thanjavur、政府工程學院Salem合作舉辦的多個教師發展計劃中發表了邀請講座,並在印度教育部的“Unnat Bharat Abhiyan”旗艦計劃的全國網絡研討會中發表了演講。他的學術成就包括約三十篇同行評審的索引出版物,涵蓋Springer、Springer Nature、Elsevier、Wiley、Inderscience等,組織了一個為期一週的AICTE培訓與學習(ATAL)學院贊助的FDP,並在全國範圍內舉辦了幾個工作坊,是IEEE、Inderscience及其他多個同行評審期刊的審稿人。他擔任印度政府“智慧印度黑客馬拉松2022”(軟體與硬體版)及Toycathon 2021的主要評估員,並在印度政府的“Toycathon 2021”總決賽中擔任評審,該活動由教育部創新小組組織,並得到AICTE(全印度技術教育委員會)的支持。他是一位黑客馬拉松愛好者,並且他的團隊在2022年由Google Cloud主辦的Cloud Fest Hackathon 2中獲得了第一名,以及在2023年WSIS論壇的DigitalGov Hack中獲得了第一名,並在IFG x TA Hub Hackathon 2022中獲得第二名。他是“全國技術教師培訓計劃”下的認證導師,該計劃由全印度技術教育委員會(AICTE)和喀拉拉邦的國立技術教師培訓與研究所進行。他還是2023年由泰米爾納德邦政府制定的Naan Mudhalvan計劃的主評估員。他還是AICTE協調的區域語言計劃中B.E / B.Tech技術書籍的審稿人,該計劃由安納大學的泰米爾語發展中心協調。他指導他的學院團隊參加智慧印度黑客馬拉松,其中一支團隊因“就業追蹤與可追溯系統 - 組織部門”問題陳述而獲得了第一名,該獎項由印度政府勞動部在2022年8月的智慧印度黑客馬拉松2022軟體版總決賽中頒發。他因學術合作而受到華為的讚賞,並獲得了華為開發者認證。他是國際應用科學與技術協會的會議委員會成員及出版委員會成員,並擔任《美國嵌入式系統與應用期刊》的編輯委員會成員。他還是由Sharda大學網絡安全與密碼學中心主辦的“近期網絡安全發展(ReDCySec-2023)”國際會議的技術程序委員會成員,該會議由Springer贊助並被Scopus索引。他為CRC Press、Taylor & Francis Group(英國)撰寫了3本書,並分別為Nova Science Publishers(美國)和CRC Press撰寫一本書。他還是印度工程師協會的專業機構成員。