{"product_id":"the-algorithm-of-beginnings-ravindra-kumar-nayak-9798287539641","title":"The Algorithm of Beginnings: A Novel Journey into AI \u0026 ML for Beginners","description":"\u003cp\u003e\u003cb\u003eThe Algorithm of Beginnings: A Novel Journey into AI \u0026amp; ML for Beginners\u003c\/b\u003e is a story-first guide for anyone who wants to enter the world of Artificial Intelligence and Machine Learning without fear.\u003c\/p\u003e\u003cp\u003eAyan Patel is not a genius programmer. He is a beginner staring at error messages, confusing terms, broken code, and quiet self-doubt. His journey begins with one missing import statement, a blinking cursor, and a question many learners secretly carry: \u003c\/p\u003e\u003cp\u003e\u003cb\u003e\"Am I smart enough for this?\"\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eWith the help of Priya, Dr. Leena Rao, and his own growing courage, Ayan slowly discovers that AI and ML are not magic. They are patterns, data, models, questions, mistakes, ethics, and practice. More importantly, he realizes that learning machines is also a way of learning himself.\u003c\/p\u003e\u003cp\u003eThis book blends novel-style storytelling with beginner-friendly technical explanation. Instead of throwing jargon at the reader, it explains ideas through scenes, dialogues, examples, analogies, reflections, and practical learning moments.\u003c\/p\u003e\u003cp\u003eInside, readers will explore: \u003c\/p\u003e\u003cp\u003eHow AI and Machine Learning begin from simple curiosity\u003cbr\u003eWhy errors and bugs are part of the learning process\u003cbr\u003eThe difference between supervised and unsupervised learning\u003cbr\u003eHow data, features, labels, models, and predictions work\u003cbr\u003eWhy evaluation metrics like accuracy, precision, recall, and confusion matrix matter\u003cbr\u003eHow a first model can build real confidence\u003cbr\u003eWhy ethics, empathy, and fairness are essential in AI\u003cbr\u003eHow beginners can move from tutorials to real-world projects\u003cbr\u003eHow to think like a builder, not just a coder\u003cbr\u003eHow to prepare for AI\/ML interviews with clarity and confidence\u003c\/p\u003e\u003cp\u003eThe updated manuscript follows Ayan's path from confusion to capability, including his first working model, ethical lessons around biased data, a crop-yield prediction project, interview preparation, glossary support, and problem-solving practice.\u003c\/p\u003e\u003cp\u003eThis book is ideal for students, self-learners, career changers, educators, non-technical readers, aspiring data scientists, and anyone who wants a soft but meaningful entry into AI and Machine Learning.\u003c\/p\u003e\u003cp\u003eAt its heart, \u003cb\u003eThe Algorithm of Beginnings\u003c\/b\u003e teaches one powerful truth: \u003c\/p\u003e\u003cp\u003eAI is not only about machines learning from data.\u003c\/p\u003e\u003cp\u003eIt is also about humans learning how to think clearly, fail patiently, build responsibly, and begin again.\u003c\/p\u003e\u003cp\u003eYou do not need to know everything before you start.\u003c\/p\u003e\u003cp\u003eYou only need curiosity, courage, and one clean beginning.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Ravindra Kumar Nayak\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798287539641\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 06\/10\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 78\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.45lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 11.00h x 8.50w x 0.16d","brand":"Ravindra Kumar Nayak","offers":[{"title":"Paperback","offer_id":49084206022911,"sku":"9798287539641","price":13.13,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/the-algorithm-of-beginnings-ravindra-kumar-nayak-9798287539641","provider":"WR Book House","version":"1.0","type":"link"}