The Beginner’s Guide to Machine Learning and AI

This book is authored byDr. Uday Chandrakant Patkar is a prominent academic leader and the Head of the Department of Computer Engineering at Bharati Vidyapeeth’s College of Engineering in Lavale, Pune. With a Ph.D. focused on language model generation, he has authored 80 publications and holds 24 patents, reflecting his dedication to research and innovation. With over 19 years of experience in education, Dr. Patkar is committed to fostering learning through workshops and conferences, while also actively contributing to social initiatives and mentoring future engineers. His passion for teaching and leadership positions him as a key figure in shaping the next generation of technology professionals.Mrs. Tejal Harshal Patil is an Assistant Professor in the Department of Computer Engineering at Bharati Vidyapeeth’s College of Engineering, Lavale, Pune. With a strong background in both academia and industry, She has 8.2 years of experience as an SAP SD Consultant and 2.8 years in the teaching profession. Passionate about research and innovation, She has contributed to the field through paper publications, conferences, workshops, seminars, and faculty development programs, and holds two patents. Currently pursuing a Ph.D., She focuses on research in Artificial Intelligence, Machine Learning, Deep Learning, and Data Science. Dedicated to bridging the gap between industry and academia, She actively mentors future engineers and strives to foster technological advancements.Ms. Ashwini Dnyaneshwar Bhapkar is an Assistant Professor in the Department of Computer Engineering at Bharati Vidyapeeth’s College of Engineering, Lavale, Pune. With 5 years of experience in academia, she has a strong foundation in teaching and research. She holds certifications in Automation Testing and Manual Testing, demonstrating her expertise in software quality assurance. Actively engaged in professional development, she has participated in seminars, workshops, and faculty development programs. Additionally, she has contributed to innovation with two patents. Her research interests include Machine Learning, Data Science, and Software Testing. Passionate about education and technology, she is committed to mentoring students and advancing research in her field.The Beginner’s Guide to Machine Learning and AI" provides a comprehensive introduction to the fundamentals of artificial intelligence (AI) and machine learning (ML), making it accessible to beginners. The book covers essential topics such as data preprocessing, supervised and unsupervised learning, neural networks, and natural language processing (NLP). It explains how AI models learn from data, process language, and make predictions, with real-world applications in healthcare, finance, autonomous systems, entertainment, and business. Readers will also explore reinforcement learning, a technique where AI learns through rewards and penalties, and the role of deep learning in advancing AI technologies. Additionally, the book highlights popular AI models like BERT, GPT, and T5, which power modern chatbots, search engines, and translation systems.Beyond the technical aspects, the book addresses critical challenges in AI, such as bias, data privacy, computational costs, and ethical concerns. It discusses global AI regulations and the importance of responsible AI development to ensure fairness and transparency. The final chapter explores emerging trends like explainable AI (XAI), AI-driven automation, and generative AI, along with career opportunities in AI-related fields. By the end of the book, readers will have a solid understanding of AI and ML concepts, equipping them with the knowledge to explore these technologies further and consider their impact on society and the future of work. Read more