Machine Learning

Machine learning is a dynamic and rapidly expanding field focused on creating algorithms that empower computers to recognize patterns, make predictions and continually enhance performance. It enables computers to learn from data and experiences, making decisions without explicit programming. For learners, mastering the fundamentals of machine learning opens doors to a world of possibilities to build robust and accurate models. In the ever-evolving landscape of machine learning, datasets play a pivotal role in shaping its future. The field has been revolutionized with the introduction of oneAPI, which provides a unified programming model across different architectures, including CPUs, GPUs, FPGAs and accelerators, fostering an efficient and portable programming environment. Embracing this unified model empowers practitioners to build efficient and scalable machine learning solutions, marking a significant stride in cross-architecture development. Dive into this fascinating field to master machine learning concepts with the step-by-step approach outlined in this book and contribute to its exciting future.

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.

(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.

. 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).

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.