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This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel
Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and
Nuclear Energy: An Introduction to the Concepts, Systems, and Applications of Nuclear Processes, Eighth Edition, provides essential information on basic nuclear physics, systems and the applications of nuclear energy. It comprehensively covers Basic Concepts, Radiation and Its Uses, and Nuclear
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning
1 Basic Equations and Concepts 11.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.2 Fundamental Equations . . . . . . . . . . . . . . . . . . . . . . . 21.3 Statistical Equations . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 Electric and Magnetic Field in
This book provides a full presentation of the current concepts and available techniques to make 'machine learning' systems more explainable. The approaches presented can be applied to almost all the current 'machine learning' models: linear and logistic regression, deep learning neural networks,
The latest edition of this highly successful textbook introduces the key techniques and concepts involved in cloning genes and in studying their expression and variation. The new edition features: Increased coverage of whole-genome sequencing technologies and enhanced treatment of bioinformatics
Theoretical Ecology: concepts and applications continues the authoritative and established sequence of theoretical ecology books initiated by Robert M. May which helped pave the way for ecology to become a more robust theoretical science, encouraging the modern biologist to better understand the
Designed to provide an insight into the SQL and MySQL database concepts using python. Key Features A practical approach Ample code examples A Quick Start Guide to Python for beginners Description Python is becoming increasingly popular among data scientists. However, analysis and visualization
Chapter 1. Introduction to Data ScienceNo of pages: 10This chapter introduces the reader to data science, and describes the major stages of working with data (collect, explore, preprocess, visualize, predict, and infer knowledge). It sets the common expectations what constitutes a data science
Early Modern Emotions is a student-friendly introduction to the concepts, approaches and sources used to study emotions in early modern Europe, and to the perspectives that analysis of the history of emotions can offer early modern studies more broadly. The volume is divided into four sections that
An Introduction to Data Science by Jeffrey S. Saltz and Jeffrey M. Stanton is an easy-to-read, gentle introduction for people with a wide range of backgrounds into the world of data science. Needing no prior coding experience or a deep understanding of statistics, this book uses the R programming
Adopting a fresh approach to the assumptions and concepts which underlie musical learning, Taking a Learner-Centred Approach to Music Education provides comprehensive guidance on professional and pedagogical aspects of learner-centred practice. This essential companion offers a pedagogy which is
Instead of fixating on formulae, Soil Mechanics: Concepts and Applications, Third Edition focuses on the fundamentals. This book describes the mechanical behaviour of soils as it relates to the practice of geotechnical engineering. It covers both principles and design, avoids complex mathematics
A brief and accessible introduction to the concepts and techniques used in applied linguistics research, which will be illustrated using real-life examples. The book covers both qualitative and quantitative research design, sampling procedures, instrumentation and analyses found in applied
Introduction to Chinese-English Translation is the first book published in the U.S. that addresses how to translate from Chinese into English. Part One discusses basic issues in translation. Part Two introduces ten essential skills with the help of actual translation examples. Part Three deals with
Art Therapy Techniques and Applications contains an original composite of therapeutic goals and evocative ideas that can be used with a wide variety of clients. This book is filled with innovative suggestions and plans that are easily implemented: from brief warm-ups to stretch the imagination, and
This accessible book draws together key ideas and techniques for applying concepts drawn from positive psychology and strengths-based management in workplace settings. It illuminates the application of various positive psychology approaches in a wide range of different workplace settings and
Chapter 1: Data Visualization with LeatherChapter Goal: Introduce readers to the data visualization with a simple library leatherNo of pages: 15Sub - Topics: 1. Introduction to leather2. Installation to leather3. Various types of graphs with leatherChapter 2: Introduction to the Scientific Python
Physical Geography: The Key Concepts is a thought-provoking and up-to-date introduction to the central ideas and debates within the field. It provides extended definitions of terms that are fundamental to physical geography and its many branches, covering topics such as: biogeography ecology