Machine Learning: A Comprehensive Beginner’s Guide

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.

Mr.Akshay B R, Final year B. Tech Computer Science Engineering Student, 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 on variety of top journals and conferences. He is also a freelance machine learning tutor and has trained around 2000+ students.

Ms. Sini Raj Pulari, Professor and Tutor is currently working with Government University [Bahrain Polytechnic, Faculty of EDICT] in the Kingdom of Bahrain. She has 16 years of experience teaching in various reputed Indian universities and Industry by 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 areas of Natural Language Processing, Recommender systems, Information Retrieval, Deep Learning and Machine Learning, She has authored 20 plus Scopus Indexed Publications and 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. She was a speaker at the workshops ＂AI for ALL＂, ＂Understanding Deep Learning Algorithm - Convolution Neural Networks with Real Time Applications, using Python, Keras and Tensor flow＂. Sini has also participated in the 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. She has completed various reputed certifications like Apple Certified Trainer, SCJP, Oracle Certified Associate, APQMR-Quality Matters etc.

Dr T S Murugesh has experience of around 24 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, Faculty of Engineering and Technology, Annamalai University, Tamil Nadu, India, he is currently working as 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 the international level conferences of high repute and given above two dozen invited lectures at the national level in various institutions including Sastra University, Annamalai University, Mahatma Gandhi University, Kerala, National Institute of Technology, Tiruchirappalli, etc. He has around 50 peer-reviewed indexed papers in journals including Springer, Springer Nature, Elsevier, Wiley, Inderscience, etc. He has organized few Faculty development Programmes at the national level, and is a reviewer for IEEE, Inderscience and many other peer-reviewed journals. He has coauthored five books for CRC Press Taylor & Francis Group (UK) and is currently co-authoring one book for Nova Science Publishers, USA and 2 books for CRC Press.

He has donned the role of Mentor, Primary Evaluator for the Government of India’s Smart India Hackathon 2022, Toycathon2021, a 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 MSME (Ministry of Micro, Small and Medium Enterprises) Innovative Scheme, Government of India as well as the Second Prize in the IFG x TA Hub Hackathon 2022.

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 is 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 B.E./B. Tech 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 him for 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 of 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 a Scientific Committee Member for an International Conference conducted at Sultanate of Oman, a chairperson in an International Hybrid Conference at Mahatma Gandhi University Kerala, India. He has held various academic responsibilities such as Chairman for Anna University Central Valuation, Chief Superintendent for the Anna University Theory Examinations and is presently the Exam Cell Coordinator for his institution. He also holds the professional body membership of the Institution of Engineers (India).

Dr. Shriram K Vasudevan has over 17 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 13 patents so far. Shriram is a hackathon enthusiast and has been awarded by Harvard University, AICITE, CII, Google, TDRA Dubai, Govt. of Saudi Arabia, Govt. of India and a lot more. He has published more than 150 research articles. He was associated with L&T Technology Services before joining in current role with Intel. Shriram Vasudevan runs a YouTube channel in his name, which has more than 41K subscribers and maintains a wide range of playlists on varied topics. Dr. Shriram is a public speaker too. He is oneAPI certified Instructor, Intel oneAPI certified Instructor, Google Cloud Ambassador, Streamlit Education Ambassador, AWS Ambassador, ACM Distinguished Speaker and NASSCOM Prime Ambassador. Shriram is a Fellow IEI, Fellow IETE and Senior Member IEEE.