Bøker utgitt av NIBEDITA Sahu

Hello, dear readers! This story is about a high school life. Where, there is a group of friends. As there are good people around, there must be bad people as well. Yeah, some people change from the bad-character to good-character. But some can never change at all. Well, in this story also, there are characters who are actually clean-hearted people. At the same time there are some bad-characters as well. With time, the good-hearted people change the bad people. But it doesn't affect on some people ever. This story also tells about the real meaning of friendship. You will have a good taste of their friendship and bonds. Along with friendship, some people get to understand the true meaning of love as well. Every moment has its own meanings. Each word makes a lot a sense. There are emotional moments as well as happy moments. There are heart-broken moments as well as funny moments. It stores a lot of memories with lessons in life. It also tells that what should we do when facing different types of situations. This story is full of emotions, feelings, humour, friendship and love.

"Mathematics for Machine Learning: A Deep Dive into Algorithms" is a comprehensive guide that bridges the gap between mathematical theory and practical applications in the dynamic world of machine learning. Whether you're a data science enthusiast, a budding machine learning engineer, or a seasoned practitioner, this book equips you with the essential mathematical foundations that power cutting-edge algorithms and data-driven insights.Starting with the fundamentals of linear algebra, multivariable calculus, probability, and statistics, Nibedita expertly guides you through the intricate maze of mathematical concepts. From there, you'll explore the depths of linear regression, classification, support vector machines, neural networks, and more, all while unraveling the underlying mathematical principles that make these algorithms tick.This book isn't just about equations and formulas-it's about unlocking the potential of machine learning through a strong mathematical intuition. Nibedita's clear explanations, illustrative examples, and practical insights ensure that you not only grasp the core concepts but also discover how they translate into real-world solutions. Dive into the intricacies of convolutional and recurrent neural networks, grasp the significance of regularization techniques, and explore the ethical dimensions of AI and machine learning.Whether you're seeking to build a solid foundation for a career in data science or aiming to deepen your understanding of machine learning algorithms, "Mathematics for Machine Learning" empowers you to harness the power of mathematics as a tool for innovation and transformation in the digital age.

Unlock the full potential of Python with this comprehensive and engaging guide that takes you on an exciting journey from an absolute beginner to a seasoned pro! Whether you're a complete novice or already have some programming experience, this book is designed to equip you with the skills and knowledge needed to excel in Python programming.Why This Book Stands Out:1. Step-by-Step Learning: The book follows a structured approach, walking you through Python concepts step by step, making learning smooth and enjoyable.2. Real-World Projects: Get hands-on experience by building practical projects that will cement your understanding and prepare you for real coding challenges.3. Mastery, Not Memorization: Emphasizing understanding over memorization, this book empowers you to think like a Python expert, enabling you to create your solutions creatively.What Makes This Book Unique:1. Beyond Basics: While it starts from the very basics, this book doesn't stop there. You'll delve into advanced Python topics to sharpen your skills and broaden your horizons.2. In-Depth Coverage: From fundamental data types to complex algorithms, ensuring you gain a profound understanding of Python's capabilities.3. Clear Explanations: Complex concepts are broken down into simple terms, making even the most intricate topics accessible and easy to comprehend.

"Exploring the World of Data Science and Machine Learning" is a comprehensive guide for individuals interested in delving into the fascinating fields of data science and machine learning. Written by Nibedita Sahu, a passionate data science and machine learning enthusiast, this book provides a practical and beginner-friendly approach to understanding the core concepts, techniques, and applications of these rapidly evolving fields. Data science and machine learning are vast and ever-changing fields, and staying up-to-date with the latest research, techniques, and ethical considerations is crucial. Continuous learning, experimentation, and collaboration are essential for data scientists to adapt to new challenges and make meaningful contributions to the field.Data science and machine learning are vast and ever-changing fields, and staying up-to-date with the latest research, techniques, and ethical considerations is crucial. Continuous learning, experimentation, and collaboration are essential for data scientists to adapt to new challenges and make meaningful contributions to the field. So, let's explore the world of Data Science and Machine Learning!

Cognitive Convergence: The Intersection of Human and Artificial Intelligence" explores the fascinating realm where the capabilities of human intelligence merge with the vast potential of artificial intelligence. In this thought-provoking book, the authors delve into the emerging field of cognitive convergence, examining the ways in which human and AI intelligence can complement and amplify each other to achieve unprecedented levels of innovation, problem-solving, and understanding. Through captivating examples, cutting-edge research, and insightful analysis, the book presents a compelling vision of a future where humans and AI work hand in hand, pushing the boundaries of knowledge and reshaping our world. From healthcare to education, from business to creativity, this exploration of cognitive convergence offers profound insights and practical implications for individuals, organizations, and society at large. Whether you are an AI enthusiast, a researcher, or simply curious about the future of intelligence, this book will expand your horizons and ignite your imagination as it uncovers the endless possibilities that arise at the convergence of human and artificial intelligence.