£70.99
£70.99
This friendly guide introduces the mathematical and machine learning foundations for data analysis. Ideal for beginners from any discipline, no prior programming experience is required. It covers regression, classification, and more with practical code, examples, and exercises.
This book introduces mathematical and machine learning foundations for modern data analysis. Many students or data analysts may want to learn these subjects in a simpler way in many different areas, such as the environment, biology, social sciences, and engineering, but know a little bit about mathematics, statistics, computing, or programming. This textbook covers, in particular, the basics of regression, classification, clustering, data fitting, optimization, time series, and visualization in use today. It intends to provide a new, more friendly course not only for computing and mathematical students, but also for various other disciplines. You are not assumed to have had any previous programming experience, and the book provides a practical guide to installing Jupyter and Python for scientific computing by yourself. It uses practical examples to help you gain an intuitive understanding of the concepts, principles, and tools for data analysis, provides practical guidance on applying mathematics to data science, and understand the abilities and limitations to avoid their misuse. Practical code examples and exercises are provided throughout the book to help you practise what you’ve learned. Data files and Python codes are available on GitHub. It is ideal for beginners to self-study online or on campus, full- or part-time.
Child life specialists need research skills, but few resources exist. Combining clinical examples with advice from seasoned researchers, this text guides you from identifying a clinical question to reporting results and improving patient outcomes.
This guide offers a complete methodology for the Doctor of Business Administration (DBA) thesis, blending indispensable theory and practice. It provides clear, applicable standards and testimonies from scholars to help students and supervisors find valuable solutions.
Presenting groundbreaking research on the East Asian library, this book covers the progress and conflicts in the field. The issues raised will lead to a rethinking of the field’s role in global interactivity and provide guidance to scholars on East Asian resources.
For new and seasoned investors, this book provides crucial knowledge of Cryptocurrency, Decentralized Finance (DeFi), and Blockchain. It covers the most important elements investors need to know, including regulation risk and robust trading strategy.
Blockchain is a decentralized technology with a major impact on cybersecurity, supply chain management, and finance. This book provides a broad picture of the concepts, techniques, applications, and research directions in this emerging technology.
This book is an invaluable guide for the researcher or professional using storytelling as inquiry. Drawing from disciplines like psychology and sociology, its 29 chapters provide a rich compendium of ways to analyse stories and make sense of them.
This title demonstrates how intuition and psychological insights can be used to design relevant models and decision strategies, and describes how goals can be adequately formed and operationalised. It then integrates these processes in an analytical framework for decision-making.
Learn the basics of media research, from conducting experimental and survey research to understanding how the media socializes us. This book explores media’s effects, including stereotypes and prosocial impacts, and teaches critical thinking techniques.
This book identifies the main research categories of Management Science in Engineering (MSE), and evaluates and classifies each MSE journal. Created by an expert team of editors and academics, it is a critical resource for scientists, researchers, practitioners, and students.
This book exposes the ‘unseen’ challenges of qualitative research. First-person accounts from diverse multicultural contexts reveal how researchers navigated ethical tensions, unequal power relations, and linguistic barriers. An invaluable resource with practical recommendations.
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