Machine Learning with oneAPI

NOTE EDITORE

Intel OneAPI is a unified programming model and software development kit (SDK) that empowers 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 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, data analytics, and more. 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 desires 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 latest and trendy tools in Machine Learning has been presented in a simple yet effective way that caters to everyone’s needs. Come, let's unleash the true power of our code across varied architectures!

SOMMARIO

1                          Intel oneAPI - An introductory discussion 2                          The Intel oneAPI toolkits - An exploration 3                          The Intel DevCloud and Jupyter notebooks 4                          What is Machine Learning? - An Introduction! 5                          Tools and Pre-requisites 6                          Supervised Learning 7                          Support Vector Machines (SVM) - An Exploration 8                          Decision Trees 9                          Bagging 10                        Boosting and Stacking 11                        Clustering Techniques and Principal Component Analysis 12                        More Intel Tools for Enhanced Development Experience

AUTORE

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, h

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9781032493114
• Dimensioni: 9.25 x 6.25 in
• Formato: Brossura
• Illustration Notes: 232 b/w images, 9 tables, 81 halftones and 151 line drawings
• Pagine Arabe: 128