Data Science Concepts and Techniques with Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science Concepts and Techniques with Applications write by Usman Qamar. This book was released on 2023-04-02. Data Science Concepts and Techniques with Applications available in PDF, EPUB and Kindle. This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. The chapters of this book are organized into three parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics, followed by presentation of a wide range of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first edition, is devoted to various techniques and tools applied in data science. Its chapters 4 to 10 detail data pre-processing, classification, clustering, text mining, deep learning, frequent pattern mining, and regression analysis. Eventually, the third part (chapters 11 and 12) present a brief introduction to Python and R, the two main data science programming languages, and shows in a completely new chapter practical data science in the WEKA (Waikato Environment for Knowledge Analysis), an open-source tool for performing different machine learning and data mining tasks. An appendix explaining the basic mathematical concepts of data science completes the book. This textbook is suitable for advanced undergraduate and graduate students as well as for industrial practitioners who carry out research in data science. They both will not only benefit from the comprehensive presentation of important topics, but also from the many application examples and the comprehensive list of further readings, which point to additional publications providing more in-depth research results or provide sources for a more detailed description of related topics. "This book delivers a systematic, carefully thoughtful material on Data Science." from the Foreword by Witold Pedrycz, U Alberta, Canada.
Introduction to Data Science
Introduction to Data Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Data Science write by Laura Igual. This book was released on 2017-02-22. Introduction to Data Science available in PDF, EPUB and Kindle. 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 resources and data at an associated website.
Data Analytics
Data Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analytics write by Mohiuddin Ahmed. This book was released on 2020-06-30. Data Analytics available in PDF, EPUB and Kindle. Data Analytics, Data Analytics: Concepts, Techniques, and Applications compiles the latest trends and issues of the emerging technologies, concepts, and applications that are based on data analytics. The book is for students, researchers, and professionals working in the area of data analytics and is not focused on any specific application. Data Analytics: Concepts, Techniques, and Applications includes chapters covering the fundamental concepts, relevant techniques, and interesting applications of data analysis. The chapters are categorized into three groups with a total of 16 chapters, with contributions from authors around the globe. Section I contains six chapters that cover the fundamental concepts of data analytics. These chapters reflect the important knowledge areas, such as machine learning, regression, clustering, information retrieval, and graph analysis. Section II has six chapters that cover the major techniques of data analytics, such as transition from regular database to big data, big graph analysis tools and techniques, and game theoretical approaches for big data analysis. The rest of the chapters in this section cover topics that lead to newer research domains, including project management, Industry 4.0, and dark data. Section III covers the applications of data analytics in different domains, such as education, traffic offenses, sports data visualization, and, last but not the least, two interesting chapters on cybersecurity for big data analytics with specific focus on the health care sector. Data Analytics: Concepts, Techniques, and Applications is for graduate students, researchers, academics, and industry practitioners working in the areas of data science, machine learning, and other related issues. Book jacket.
Data Science Concepts and Techniques with Applications
Data Science Concepts and Techniques with Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science Concepts and Techniques with Applications write by Usman Qamar. This book was released on 2020-06-08. Data Science Concepts and Techniques with Applications available in PDF, EPUB and Kindle. This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three sections: The first section is an introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics. Followed by discussion on wide range of applications of data science and widely used techniques in data science. The second section is devoted to the tools and techniques of data science. It consists of data pre-processing, feature selection, classification and clustering concepts as well as an introduction to text mining and opining mining. And finally, the third section of the book focuses on two programming languages commonly used for data science projects i.e. Python and R programming language. Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. The book is suitable for both undergraduate and postgraduate students as well as those carrying out research in data science. It can be used as a textbook for undergraduate students in computer science, engineering and mathematics. It can also be accessible to undergraduate students from other areas with the adequate background. The more advanced chapters can be used by postgraduate researchers intending to gather a deeper theoretical understanding.
Data Science Concepts and Techniques with Applications
Data Science Concepts and Techniques with Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science Concepts and Techniques with Applications write by Usman Qamar. This book was released on 2020. Data Science Concepts and Techniques with Applications available in PDF, EPUB and Kindle. This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three sections: The first section is an introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics. Followed by discussion on wide range of applications of data science and widely used techniques in data science. The second section is devoted to the tools and techniques of data science. It consists of data pre-processing, feature selection, classification and clustering concepts as well as an introduction to text mining and opining mining. And finally, the third section of the book focuses on two programming languages commonly used for data science projects i.e. Python and R programming language. Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. The book is suitable for both undergraduate and postgraduate students as well as those carrying out research in data science. It can be used as a textbook for undergraduate students in computer science, engineering and mathematics. It can also be accessible to undergraduate students from other areas with the adequate background. The more advanced chapters can be used by postgraduate researchers intending to gather a deeper theoretical understanding.
