Data Science Uncovering The Reality
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Data Science Uncovering The Reality
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Author : Pulkit Bansal, Kunal Kishore, Pankaj Gupta, Srijan Saket, Neeraj Kumar
language : en
Publisher: Notion Press
Release Date : 2020-04-15
Data Science Uncovering The Reality written by Pulkit Bansal, Kunal Kishore, Pankaj Gupta, Srijan Saket, Neeraj Kumar and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-15 with Computers categories.
Data Science has become a popular field of work today. However a good resource to understand applied Data Science is still missing. In Data Science Uncovering the Reality, a group of IITians unravel how Data Science is done in the industry. They have interviewed Data Science and technology leaders at top companies in India and presented their learnings here. This book will give you honest answers to questions such as: How to build a career in Data Science? How A.I. is used in the world’s most successful companies. How Data Science leaders actually work and the challenges they face.
Data Science And Big Data Analytics
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Author : EMC Education Services
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-27
Data Science And Big Data Analytics written by EMC Education Services and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-27 with Computers categories.
Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!
Encyclopedia Of Data Science And Machine Learning
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2023-01-20
Encyclopedia Of Data Science And Machine Learning written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Computers categories.
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Data Science And Analytics With Python R And Spss Programming
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Author : V.K. Jain
language : en
Publisher: KHANNA PUBLISHING HOUSE
Release Date :
Data Science And Analytics With Python R And Spss Programming written by V.K. Jain and has been published by KHANNA PUBLISHING HOUSE this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
The Book has been written completely as per AICTE recommended syllabus on "Data Sciences". SALIENT FEATURES OF THE BOOK: Explains how data is collected, managed and stored for data science. With complete courseware for understand the key concepts in data science including their real-world applications and the toolkit used by data scientists. Implement data collection and management. Provided with state of the arts subjectwise. With all required tutorials on R, Python and Bokeh, Anaconda, IBM SPSS-21 and Matplotlib.
Data Science For Business
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Author : Foster Provost
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-07-27
Data Science For Business written by Foster Provost and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-27 with Computers categories.
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates
Causation In Science And The Methods Of Scientific Discovery
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Author : Rani Lill Anjum
language : en
Publisher:
Release Date : 2018
Causation In Science And The Methods Of Scientific Discovery written by Rani Lill Anjum and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Philosophy categories.
Causal questions are relevant to all sciences and social sciences, yet how we discover causal connections is no easy matter. Indeed, the choice of methods concerns the correct norms for the empirical study of the world. In this text, two experts on causation relate philosophical theory to scientific practice and propose nine new norms of discovery.
Getting Started With Data Science
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Author : Murtaza Haider
language : en
Publisher: IBM Press
Release Date : 2015-12-14
Getting Started With Data Science written by Murtaza Haider and has been published by IBM Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-14 with Business & Economics categories.
Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy! Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable. Unfortunately, there’s been nothing easy about learning data science–until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything’s software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you’ll always know why you’re doing what you’re doing. You’ll master data science by answering fascinating questions, such as: • Are religious individuals more or less likely to have extramarital affairs? • Do attractive professors get better teaching evaluations? • Does the higher price of cigarettes deter smoking? • What determines housing prices more: lot size or the number of bedrooms? • How do teenagers and older people differ in the way they use social media? • Who is more likely to use online dating services? • Why do some purchase iPhones and others Blackberry devices? • Does the presence of children influence a family’s spending on alcohol? For each problem, you’ll walk through defining your question and the answers you’ll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. Throughout, the focus is squarely on what matters most: transforming data into insights that are clear, accurate, and can be acted upon.
Running Art Galleries
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Author : Amelia Green
language : en
Publisher: Publifye AS
Release Date : 2025-02-21
Running Art Galleries written by Amelia Green and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-21 with Business & Economics categories.
Running Art Galleries explores the dynamic intersection of art and commerce, offering a comprehensive guide to navigating the contemporary art market. It emphasizes the crucial balance between curatorial vision and business acumen, essential for establishing a thriving gallery. Discover how a gallery's unique identity and financial stability are paramount to its long-term success. The book highlights intriguing facts, such as the impact of online sales platforms and the globalization of the art market on gallery operations. This book provides a structured approach, beginning with foundational concepts like curatorial practice and art market analysis. It progresses through artist representation, exhibition staging, art sales, and financial management, incorporating real-world case studies and interviews. A significant portion covers budgeting, sales strategies, and legal considerations. Running Art Galleries uniquely focuses on integrating digital technologies, like social media and data analytics, to expand reach and engage collectors. The book's value lies in offering a practical roadmap for navigating the complexities of the art world. It addresses the importance of diversity and inclusion, encouraging galleries to represent underrepresented artists. Aspiring gallerists, current owners, and art students will find actionable advice and insights for building a sustainable art business.
Truth Vs Myths
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Author : Amara Darwin
language : en
Publisher: Publifye AS
Release Date : 2025-02-18
Truth Vs Myths written by Amara Darwin and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Science categories.
""Truth Vs Myths"" tackles the pervasive problem of misinformation by dissecting widely held beliefs and separating fact from fiction across science, history, and everyday reasoning. It emphasizes the importance of critical thinking and evidence-based reasoning in navigating our information-saturated world. The book reveals how misinformation can lead to poor choices and hinder progress. For example, it explores how deeply ingrained scientific misconceptions can affect our understanding of health and medicine. The book's structure begins with introducing core concepts like fact-checking and source evaluation. It then systematically examines common fallacies and historical inaccuracies using rigorous academic research, scientific studies, and statistical data to challenge long-standing myths. Readers will learn how myths are created and perpetuated, gaining tools to evaluate information for themselves. The approach is unique in its emphasis on in-depth analysis and evidence-based debunking, making it a valuable reference for anyone seeking to make more informed decisions. Each chapter presents a myth, explores its origins, and then dismantles it with empirical evidence, often using charts, graphs, and real-world examples for clarity. This comprehensive approach empowers readers to become more discerning consumers of information and more effective problem-solvers in an increasingly complex world.
Uncovering Data Gold
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Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2025-01-26
Uncovering Data Gold written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-26 with Computers categories.
**Uncovering Data Gold A Comprehensive Guide to Mastering the Information Age** In today's rapidly evolving digital landscape, data is more than just information—it's a treasure trove of unparalleled potential. "Uncovering Data Gold" invites you on an enlightening journey through the world of data, providing the essential knowledge to transform raw information into strategic insights. Embark on this journey beginning with the riveting history and evolution of data and its profound influence on our everyday lives. Discover the fundamentals of data types, sources, and collection methods, and explore the magnitude of Big Data, encapsulated by its defining Four V’s. Dive into the transformative power of analytics, and learn how to harness both descriptive and predictive analytics to drive successful outcomes. This book unveils the intricacies of machine learning and artificial intelligence, breaking down complex algorithms that are shaping the future. Data is a powerful tool for decision-making, helping overcome biases and fostering a data-driven culture in organizations. Navigate the ethical landscape of data usage, addressing privacy concerns, and understanding the responsibilities that come with handling sensitive information. "Uncovering Data Gold" provides insights into effective data visualization techniques, showcasing real-world success stories that bring data to life. Explore industry-specific applications in healthcare, finance, retail, and more, illustrating how data science revolutionizes sectors across the globe. In the realms of education and public sector innovation, this book highlights how data enhances learning experiences and government services, paving the way toward smarter cities and accountable governance. Unleash the potential of business intelligence, cloud computing, and data strategy to drive corporate success. Understand the challenges facing data science today, including technical hurdles and the pressing skills gap, while preparing for the future with emerging trends and innovations. Unlock the immense potential of data with "Uncovering Data Gold," your ultimate guide to mastering the information age and staying ahead in this data-driven future.