دانلود کتاب داده بدون برچسب – یادگیری ماشین عملی بدون ناظر

Data is the new oil, electricity, and power. The amount of data available has exploded in the past 10 to 15 years. AI-based solutions are harnessing the datasets, and hence AI has made unprecedented progress in the past decade. It has transformed our lives— the way we buy, plan, travel, respond, and connect. With the introduction of cloud computing, massive computational power became readily available. One of the most powerful additions has been large language models like ChatGPT, which revolutionized the entire ecosystem. Across all business domains, including retail, telecommunications, banking, financial services, insurance, healthcare, manufacturing, and aviation—and cutting through the functions of marketing, CRM, production, supply chains, pricing, quality—data-based AI tools are proving their tremendous value. Predictive algorithms, optimization solutions, and classification tools have improved efficiency, reduced operations cost, enhanced profit, and opened new doors to humankind. We can research for new drugs faster and more efficiently, create better and safer manufacturing processes, enhance the effectiveness of business teams, and generate superior and more mature business solutions. As an ardent follower of AI, I have witnessed both the unwavering excitement and the complexity of navigating this complicated landscape, which is a combination of technology, engineering, research, and human interest. Throughout the process of writing this book, I have often been reminded of the complexities and nuances of understanding AI. The answers are not simple, and, honestly, the more I explored the topic, the more I came to appreciate the layers and shades that shape the way we learn, act, and understand. This book has been a journey—a journey of discovery, reflection, challenge, and certainly arduous work. A simple thought was the inception: a curiosity about unsupervised learning solutions by harnessing deep learning and generative AI. And during this journey, the curiosity evolved into something that I hope will inspire, inform, and perhaps challenge readers. This book is a culmination of hours of brainstorming sessions, discussions and research, and thought and grit, woven together with the intention of offering something tangible as well as valuable to readers. I’ve made a conscious effort to present convoluted ideas in a manner that is both approachable as well as technically thorough. The goal is not just to help you comprehend deep learning or generative AI but to help you develop a much more in-depth understanding of how these solutions are created, the mathematics behind them, and how they can be adapted to solve a range of problems.