Mastering The Data Paradox
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Mastering The Data Paradox
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Author : Nitin Seth
language : en
Publisher: Penguin Random House India Private Limited
Release Date : 2024-03-18
Mastering The Data Paradox written by Nitin Seth and has been published by Penguin Random House India Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-18 with Computers categories.
There are two remarkable phenomena that are unfolding almost simultaneously. The first is the emergence of a data-first world, where data has become a central driving force, shaping industries and fueling innovation. The second is the dawn of the AI age, propelled by the advent of Generative AI, that has created the possibility to leverage the data of the world for the first time. The convergence of these two, with data as the common denominator, holds immense promise and the opportunities are boundless. This book provides us with opportunities to push our thinking, to innovate, to transform and to create a better future at all levels—individual, enterprise and the world.
Mastering Large Datasets With Python
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Author : John Wolohan
language : en
Publisher: Simon and Schuster
Release Date : 2020-01-15
Mastering Large Datasets With Python written by John Wolohan and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-15 with Computers categories.
Summary Modern data science solutions need to be clean, easy to read, and scalable. In Mastering Large Datasets with Python, author J.T. Wolohan teaches you how to take a small project and scale it up using a functionally influenced approach to Python coding. You’ll explore methods and built-in Python tools that lend themselves to clarity and scalability, like the high-performing parallelism method, as well as distributed technologies that allow for high data throughput. The abundant hands-on exercises in this practical tutorial will lock in these essential skills for any large-scale data science project. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Programming techniques that work well on laptop-sized data can slow to a crawl—or fail altogether—when applied to massive files or distributed datasets. By mastering the powerful map and reduce paradigm, along with the Python-based tools that support it, you can write data-centric applications that scale efficiently without requiring codebase rewrites as your requirements change. About the book Mastering Large Datasets with Python teaches you to write code that can handle datasets of any size. You’ll start with laptop-sized datasets that teach you to parallelize data analysis by breaking large tasks into smaller ones that can run simultaneously. You’ll then scale those same programs to industrial-sized datasets on a cluster of cloud servers. With the map and reduce paradigm firmly in place, you’ll explore tools like Hadoop and PySpark to efficiently process massive distributed datasets, speed up decision-making with machine learning, and simplify your data storage with AWS S3. What's inside An introduction to the map and reduce paradigm Parallelization with the multiprocessing module and pathos framework Hadoop and Spark for distributed computing Running AWS jobs to process large datasets About the reader For Python programmers who need to work faster with more data. About the author J. T. Wolohan is a lead data scientist at Booz Allen Hamilton, and a PhD researcher at Indiana University, Bloomington. Table of Contents: PART 1 1 ¦ Introduction 2 ¦ Accelerating large dataset work: Map and parallel computing 3 ¦ Function pipelines for mapping complex transformations 4 ¦ Processing large datasets with lazy workflows 5 ¦ Accumulation operations with reduce 6 ¦ Speeding up map and reduce with advanced parallelization PART 2 7 ¦ Processing truly big datasets with Hadoop and Spark 8 ¦ Best practices for large data with Apache Streaming and mrjob 9 ¦ PageRank with map and reduce in PySpark 10 ¦ Faster decision-making with machine learning and PySpark PART 3 11 ¦ Large datasets in the cloud with Amazon Web Services and S3 12 ¦ MapReduce in the cloud with Amazon’s Elastic MapReduce
Human Edge In The Ai Age
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Author : Nitin Seth
language : en
Publisher: Penguin Random House India Private Limited
Release Date : 2025-07-31
Human Edge In The Ai Age written by Nitin Seth and has been published by Penguin Random House India Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-31 with Computers categories.
A seismic shift is underway—one that will redefine work, value, and even what it means to be human. Artificial Intelligence is not just disrupting industries—it’s beginning to outperform humans in areas once considered exclusively ours: complex reasoning, creativity, even emotional intelligence. As AI accelerates, it will displace millions of jobs—while also creating once-in-a-generation opportunities for those ready to build, innovate, and lead. This profound duality raises the defining question of our time: In a world where machines can learn, decide, and simulate emotion—what remains uniquely human? And how do we protect, strengthen, and evolve that edge? In Human Edge in the AI Age, bestselling author and global tech leader Nitin Seth offers a powerful and deeply personal answer. Drawing on decades of leadership across McKinsey, Fidelity, Flipkart, and Incedo—and rooted in the timeless wisdom of Indian philosophy—he reframes the AI debate through a human lens. At the heart of the book is POSSIBLE: an eight-dimensional framework that unlocks the core human strengths that will define success in the AI era—including problem-solving, openness, spirituality, balance, leadership, and the spirit of entrepreneurship. Whether you're a student stepping into an uncertain future, a professional navigating change, or a leader shaping what comes next, this is your blueprint for thriving—not in spite of AI, but because of what makes you human. The future is POSSIBLE. Let’s lead it with the human edge.
Data Paradoxes
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Author : Klaus Hoeyer
language : en
Publisher: MIT Press
Release Date : 2023-04-18
Data Paradoxes written by Klaus Hoeyer and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-18 with Social Science categories.
Why healthcare cannot—and should not—become data-driven, despite the many promises of intensified data sourcing. In contemporary healthcare, everybody seems to want more data, of higher quality, on more people, and to use this data for a wider range of purposes. In theory, such pervasive data collection should lead to a healthcare system in which data can quickly, efficiently, and unambiguously be interpreted and provide better care for patients, more efficient administration, enhanced options for research, and accelerated economic growth. In practice, however, data are difficult to interpret and the many purposes often undermine one another. In this book, anthropologist and STS scholar Klaus Hoeyer offers an in-depth look at the paradoxes surrounding healthcare data. Focusing on Denmark, a world leader in healthcare data infrastructures, Hoeyer shares the perspectives of different stakeholders, from epidemiologists to hospital managers, from patients to physicians, analyzing the social dynamics set in motion by data intensification and calling special attention to that which cannot be easily coded in a database. HHe illustrates how data can be at once helpful, overwhelming, and sometimes disastrous through concrete examples. The COVID-19 pandemic serves as a special closing case study that shows how these data paradoxes carry weighty political implications. By revealing the diverse and sometimes contradictory practices spawned by intensified data sourcing, Data Paradoxes raises vital questions about how we might better use healthcare data.
Digital Technology And Sustainability
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Author : Mike Hazas
language : en
Publisher: Routledge
Release Date : 2017-11-22
Digital Technology And Sustainability written by Mike Hazas and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-22 with Business & Economics categories.
This book brings together diverse voices from across the field of sustainable human computer interaction (SHCI) to discuss what it means for digital technology to support sustainability and how humans and technology can work together optimally for a more sustainable future. Contemporary digital technologies are hailed by tech companies, governments and academics as leading-edge solutions to the challenges of environmental sustainability; smarter homes, more persuasive technologies, and a robust Internet of Things hold the promise for creating a greener world. Yet, deployments of interactive technologies for such purposes often lead to a paradox: they algorithmically "optimize" heating and lighting of houses without regard to the dynamics of daily life in the home; they can collect and display data that allow us to reflect on energy and emissions, yet the same information can cause us to raise our expectations for comfort and convenience; they might allow us to share best practice for sustainable living through social networking and online communities, yet these same systems further our participation in consumerism and contribute to an ever-greater volume of electronic waste.By acknowledging these paradoxes, this book represents a significant critical inquiry into digital technology’s longer-term impact on ideals of sustainability. Written by an interdisciplinary team of contributors this book will be of great interest to students and scholars of human computer interaction and environmental studies.
Mastering Data Intensive Collaboration And Decision Making
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Author : Nikos Karacapilidis
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-04-05
Mastering Data Intensive Collaboration And Decision Making written by Nikos Karacapilidis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-05 with Technology & Engineering categories.
This book reports on cutting-edge research carried out within the context of the EU-funded Dicode project, which aims at facilitating and augmenting collaboration and decision making in data-intensive and cognitively complex settings. Whenever appropriate, Dicode builds on prominent high-performance computing paradigms and large data processing technologies to meaningfully search, analyze, and aggregate data from diverse, extremely large and rapidly evolving sources. The Dicode approach and services are fully explained and particular emphasis is placed on deepening insights regarding the exploitation of big data, as well as on collaboration and issues relating to sense-making support. Building on current advances, the solution developed in the Dicode project brings together the reasoning capabilities of both the machine and humans. It can be viewed as an innovative “workbench” incorporating and orchestrating a set of interoperable services that reduce the data intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and effective in their work practices.
Data Scientist Diploma Master S Level City Of London College Of Economics 6 Months 100 Online Self Paced
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Author : City of London College of Economics
language : en
Publisher: City of London College of Economics
Release Date :
Data Scientist Diploma Master S Level City Of London College Of Economics 6 Months 100 Online Self Paced written by City of London College of Economics and has been published by City of London College of Economics this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
Overview This diploma course covers all aspects you need to know to become a successful Data Scientist. Content - Getting Started with Data Science - Data Analytic Thinking - Business Problems and Data Science Solutions - Introduction to Predictive Modeling: From Correlation to Supervised Segmentation - Fitting a Model to Data - Overfitting and Its Avoidance - Similarity, Neighbors, and Clusters Decision Analytic Thinking I: What Is a Good Model? - Visualizing Model Performance - Evidence and Probabilities - Representing and Mining Text - Decision Analytic Thinking II: Toward Analytical Engineering - Other Data Science Tasks and Techniques - Data Science and Business Strategy - Machine Learning: Learning from Data with Your Machine. - And much more Duration 6 months Assessment The assessment will take place on the basis of one assignment at the end of the course. Tell us when you feel ready to take the exam and we’ll send you the assignment questions. Study material The study material will be provided in separate files by email / download link.
Data As A Service
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Author : Pushpak Sarkar
language : en
Publisher: John Wiley & Sons
Release Date : 2015-07-31
Data As A Service written by Pushpak Sarkar 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 2015-07-31 with Computers categories.
Data as a Service shows how organizations can leverage “data as a service” by providing real-life case studies on the various and innovative architectures and related patterns Comprehensive approach to introducing data as a service in any organization A reusable and flexible SOA based architecture framework Roadmap to introduce ‘big data as a service’ for potential clients Presents a thorough description of each component in the DaaS reference architecture so readers can implement solutions
Infoworld
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Author :
language : en
Publisher:
Release Date : 1990-11-12
Infoworld written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-11-12 with categories.
InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.
Creating Value With Data Analytics In Marketing
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Author : Peter C. Verhoef
language : en
Publisher: Routledge
Release Date : 2021-11-07
Creating Value With Data Analytics In Marketing written by Peter C. Verhoef and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-07 with Business & Economics categories.
This book is a refreshingly practical yet theoretically sound roadmap to leveraging data analytics and data science. The vast amount of data generated about us and our world is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organizations to leverage the information to create value in marketing. Creating Value with Data Analytics in Marketing provides a nuanced view of big data developments and data science, arguing that big data is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. The second edition of this bestselling text has been fully updated in line with developments in the field and includes a selection of new, international cases and examples, exercises, techniques and methodologies. Tying data and analytics to specific goals and processes for implementation makes this essential reading for advanced undergraduate and postgraduate students and specialists of data analytics, marketing research, marketing management and customer relationship management. Online resources include chapter-by-chapter lecture slides and data sets and corresponding R code for selected chapters.