£79.99
£79.99
A practical, step-by-step guide to regression analysis in Excel. Fit linear and nonlinear models to real-world data with hands-on examples and exercises with solutions. Includes specialized tools for life sciences and engineering. No programming skills required.
In this book, the author offers a practical, step-by-step guide to understanding and applying regression analysis through the accessible power of Excel for students, researchers, and professionals, especially those in the life sciences and engineering fields.
Whether you are just beginning your journey with data analysis or looking to enhance your existing skills, this book teaches you how to fit linear, curvilinear, and nonlinear models to real-world data using Excel’s built-in functions and formulas. From simple correlation to advanced topics like Monte Carlo methods, and model comparison, each concept is illustrated with hands-on examples and clear explanations. This book is ideal for anyone modeling real-world data in an academic or professional setting.
This comprehensive guide also introduces R-BioXL and ÖK-BUZ GRoFiT (two user-friendly Excel-based tools) designed to streamline biological data analysis, including applications in drug and food degradation kinetics, microbial growth, microbial inactivation and enzyme kinetics.
With 14 structured chapters, 48 worked examples and over 40 exercises with solutions, this book is also perfectly suited as a one-semester course textbook.
No programming skills are required – just Excel and curiosity.
This book explores the latest research in education design for virtual and augmented reality. Using numerous studies and examples, it will help the reader gain a better understanding of the nature of these realities and their applications in theory and practice.
This book shows how artificial intelligence (AI) and machine learning (ML) are used to prevent security assaults on blockchain. It explores use cases and security methods, arguing that integrating AI and ML is crucial for increasing blockchain security.
This multidisciplinary book explores COVID-19’s impact across the sciences and humanities. It offers varied perspectives on the pandemic’s challenges and solutions, with a specific focus on Indonesia. For researchers, students, the public, and policy makers.
Satellite images often suffer from interpretability issues and lost details due to sensor limitations. This book exploits deep learning to boost minute details and improve classification, showing how super-resolution improves spatial detail for precise decision-making.
This volume presents research merging classical measurement theory with modern data science. Discover novel methods for superior measurement design, robust data evaluation, and efficient instrumentation implementations.
This book offers an integral view of human speech behavior, uniting biology, linguistics, math, and AI. It explores neural networks and microelectronics for speech recognition, text-to-speech synthesis, and dialogue systems. For a broad professional audience.
This book explores how artificial intelligence (AI) interprets behavioral patterns and their influence on personality. It discusses AI’s uses, from controlling diseases to modern personality analysis, and its challenges. Perfect for data scientists, academics, and students.
Using real-world cases, this book illustrates how to handle volatile financial time series data. Learn to apply statistical, machine learning, and deep learning techniques with R and Python to build robust predictive models and construct profitable investment portfolios.
This book explores artificial intelligence through the unique lens of art, showing how we can engage with AI without being subjugated by it. Each chapter begins with a work of art to guide the reader through philosophical keywords like “author,” “memory,” and “human.”
This book is a precise and comprehensive history of the digital computer, tracing its roots and routes through the modern era. Though dealing with the history of technology in general, its central focus is the automatic digital program-controlled calculating devices of 1935-1945.
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