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Data Jujitsu The Art Of Turning Data Into Product
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Download or read book Data Jujitsu written by DJ Patil and published by . This book was released on 2012 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Acclaimed data scientist DJ Patil details a new approach to solving problems in Data Jujitsu. Learn how to use a problem's "weight" against itself to: Break down seemingly complex data problems into simplified parts Use alternative data analysis techniques to examine them Use human input, such as Mechanical Turk, and design tricks that enlist the help of your users to take short cuts around tough problems Learn more about the problems before starting on the solutions-and use the findings to solve them, or determine whether the problems are worth solving at all.
Download or read book Data Jujitsu written by Dj Patil and published by . This book was released on 2014-08-14 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Acclaimed data scientist DJ Patil details a new approach to solving problems in Data Jujitsu.Learn how to use a problem's "weight" against itself to: Break down seemingly complex data problems into simplified parts Use alternative data analysis techniques to examine them Use human input, such as Mechanical Turk, and design tricks that enlist the help of your users to take short cuts around tough problemsLearn more about the problems before starting on the solutions—and use the findings to solve them, or determine whether the problems are worth solving at all.
Book Synopsis Data Jujitsu: The Art of Turning Data into Product by : DJ Patil
Download or read book Data Jujitsu: The Art of Turning Data into Product written by DJ Patil and published by "O'Reilly Media, Inc.". This book was released on 2012-11-14 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Acclaimed data scientist DJ Patil details a new approach to solving problems in Data Jujitsu. Learn how to use a problem's "weight" against itself to: Break down seemingly complex data problems into simplified parts Use alternative data analysis techniques to examine them Use human input, such as Mechanical Turk, and design tricks that enlist the help of your users to take short cuts around tough problems Learn more about the problems before starting on the solutions—and use the findings to solve them, or determine whether the problems are worth solving at all.
Download or read book Data Jujitsu written by D. J. Patil and published by "O'Reilly Media, Inc.". This book was released on 2012 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Building Data Science Teams by : DJ Patil
Download or read book Building Data Science Teams written by DJ Patil and published by "O'Reilly Media, Inc.". This book was released on 2011-09-15 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success. Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn data science team.
Book Synopsis Designing Great Data Products by : Jeremy Howard
Download or read book Designing Great Data Products written by Jeremy Howard and published by "O'Reilly Media, Inc.". This book was released on 2012-03-23 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past few years, we’ve seen many data products based on predictive modeling. These products range from weather forecasting to recommendation engines like Amazon's. Prediction technology can be interesting and mathematically elegant, but we need to take the next step: going from recommendations to products that can produce optimal strategies for meeting concrete business objectives. We already know how to build these products: they've been in use for the past decade or so, but they're not as common as they should be. This report shows how to take the next step: to go from simple predictions and recommendations to a new generation of data products with the potential to revolutionize entire industries.
Download or read book Data Driven written by DJ Patil and published by "O'Reilly Media, Inc.". This book was released on 2015-01-05 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Succeeding with data isn’t just a matter of putting Hadoop in your machine room, or hiring some physicists with crazy math skills. It requires you to develop a data culture that involves people throughout the organization. In this O’Reilly report, DJ Patil and Hilary Mason outline the steps you need to take if your company is to be truly data-driven—including the questions you should ask and the methods you should adopt. You’ll not only learn examples of how Google, LinkedIn, and Facebook use their data, but also how Walmart, UPS, and other organizations took advantage of this resource long before the advent of Big Data. No matter how you approach it, building a data culture is the key to success in the 21st century. You’ll explore: Data scientist skills—and why every company needs a Spock How the benefits of giving company-wide access to data outweigh the costs Why data-driven organizations use the scientific method to explore and solve data problems Key questions to help you develop a research-specific process for tackling important issues What to consider when assembling your data team Developing processes to keep your data team (and company) engaged Choosing technologies that are powerful, support teamwork, and easy to use and learn
Book Synopsis Ethics and Data Science by : Mike Loukides
Download or read book Ethics and Data Science written by Mike Loukides and published by "O'Reilly Media, Inc.". This book was released on 2018-07-25 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the impact of data science continues to grow on society there is an increased need to discuss how data is appropriately used and how to address misuse. Yet, ethical principles for working with data have been available for decades. The real issue today is how to put those principles into action. With this report, authors Mike Loukides, Hilary Mason, and DJ Patil examine practical ways for making ethical data standards part of your work every day. To help you consider all of possible ramifications of your work on data projects, this report includes: A sample checklist that you can adapt for your own procedures Five framing guidelines (the Five C’s) for building data products: consent, clarity, consistency, control, and consequences Suggestions for building ethics into your data-driven culture Now is the time to invest in a deliberate practice of data ethics, for better products, better teams, and better outcomes. Get a copy of this report and learn what it takes to do good data science today.
Book Synopsis Designing Virtual Worlds by : Richard A. Bartle
Download or read book Designing Virtual Worlds written by Richard A. Bartle and published by New Riders. This book was released on 2004 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides a comprehensive treatment of virtual world design from one of its pioneers. It covers everything from MUDs to MOOs to MMORPGs, from text-based to graphical VWs.
Book Synopsis Fundamentals of Data Engineering by : Joe Reis
Download or read book Fundamentals of Data Engineering written by Joe Reis and published by "O'Reilly Media, Inc.". This book was released on 2022-06-22 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology. This book will help you: Get a concise overview of the entire data engineering landscape Assess data engineering problems using an end-to-end framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle
Book Synopsis Model-Based Machine Learning by : John Winn
Download or read book Model-Based Machine Learning written by John Winn and published by CRC Press. This book was released on 2023-11-30 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to a concrete, real world problem. This book tackles this challenge through model-based machine learning which focuses on understanding the assumptions encoded in a machine learning system and their corresponding impact on the behaviour of the system. The key ideas of model-based machine learning are introduced through a series of case studies involving real-world applications. Case studies play a central role because it is only in the context of applications that it makes sense to discuss modelling assumptions. Each chapter introduces one case study and works through step-by-step to solve it using a model-based approach. The aim is not just to explain machine learning methods, but also showcase how to create, debug, and evolve them to solve a problem. Features: Explores the assumptions being made by machine learning systems and the effect these assumptions have when the system is applied to concrete problems. Explains machine learning concepts as they arise in real-world case studies. Shows how to diagnose, understand and address problems with machine learning systems. Full source code available, allowing models and results to be reproduced and explored. Includes optional deep-dive sections with more mathematical details on inference algorithms for the interested reader.
Book Synopsis Building a Smarter University by : Jason E. Lane
Download or read book Building a Smarter University written by Jason E. Lane and published by SUNY Press. This book was released on 2014-09-30 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demonstrates how universities can use Big Data to enhance operations and management, improve the education pipeline, and educate the next generation of data scientists. The Big Data movement and the renewed focus on data analytics are transforming everything from healthcare delivery systems to the way cities deliver services to residents. Now is the time to examine how this Big Data could help build smarter universities. While much of the cutting-edge research that is being done with Big Data is happening at colleges and universities, higher education has yet to turn the digital mirror on itself to advance the academic enterprise. Institutions can use the huge amounts of data being generated to improve the student learning experience, enhance research initiatives, support effective community outreach, and develop campus infrastructure. This volume focuses on three primary themes related to creating a smarter university: refining the operations and management of higher education institutions, cultivating the education pipeline, and educating the next generation of data scientists. Through an analysis of these issues, the contributors address how universities can foster innovation and ingenuity in the academy. They also provide scholarly and practical insights in order to frame these topics for an international discussion.
Book Synopsis Simplifying Data Engineering and Analytics with Delta by : Anindita Mahapatra
Download or read book Simplifying Data Engineering and Analytics with Delta written by Anindita Mahapatra and published by Packt Publishing Ltd. This book was released on 2022-07-29 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore how Delta brings reliability, performance, and governance to your data lake and all the AI and BI use cases built on top of it Key Features • Learn Delta’s core concepts and features as well as what makes it a perfect match for data engineering and analysis • Solve business challenges of different industry verticals using a scenario-based approach • Make optimal choices by understanding the various tradeoffs provided by Delta Book Description Delta helps you generate reliable insights at scale and simplifies architecture around data pipelines, allowing you to focus primarily on refining the use cases being worked on. This is especially important when you consider that existing architecture is frequently reused for new use cases. In this book, you'll learn about the principles of distributed computing, data modeling techniques, and big data design patterns and templates that help solve end-to-end data flow problems for common scenarios and are reusable across use cases and industry verticals. You'll also learn how to recover from errors and the best practices around handling structured, semi-structured, and unstructured data using Delta. After that, you'll get to grips with features such as ACID transactions on big data, disciplined schema evolution, time travel to help rewind a dataset to a different time or version, and unified batch and streaming capabilities that will help you build agile and robust data products. By the end of this Delta book, you'll be able to use Delta as the foundational block for creating analytics-ready data that fuels all AI/BI use cases. What you will learn • Explore the key challenges of traditional data lakes • Appreciate the unique features of Delta that come out of the box • Address reliability, performance, and governance concerns using Delta • Analyze the open data format for an extensible and pluggable architecture • Handle multiple use cases to support BI, AI, streaming, and data discovery • Discover how common data and machine learning design patterns are executed on Delta • Build and deploy data and machine learning pipelines at scale using Delta Who this book is for Data engineers, data scientists, ML practitioners, BI analysts, or anyone in the data domain working with big data will be able to put their knowledge to work with this practical guide to executing pipelines and supporting diverse use cases using the Delta protocol. Basic knowledge of SQL, Python programming, and Spark is required to get the most out of this book.
Book Synopsis Beginning Data Science with R by : Manas A. Pathak
Download or read book Beginning Data Science with R written by Manas A. Pathak and published by Springer. This book was released on 2014-12-08 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: “We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library. The goal of “Beginning Data Science with R” is to introduce the readers to some of the useful data science techniques and their implementation with the R programming language. The book attempts to strike a balance between the how: specific processes and methodologies, and understanding the why: going over the intuition behind how a particular technique works, so that the reader can apply it to the problem at hand. This book will be useful for readers who are not familiar with statistics and the R programming language.
Book Synopsis Continued Rise of the Cloud by : Zaigham Mahmood
Download or read book Continued Rise of the Cloud written by Zaigham Mahmood and published by Springer. This book was released on 2014-07-07 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book captures the state of the art in cloud technologies, infrastructures, and service delivery and deployment models. The work provides guidance and case studies on the development of cloud-based services and infrastructures from an international selection of expert researchers and practitioners. Features: presents a focus on security and access control mechanisms for cloud environments, analyses standards and brokerage services, and investigates the role of certification for cloud adoption; evaluates cloud ERP, suggests a framework for implementing “big data” science, and proposes an approach for cloud interoperability; reviews existing elasticity management solutions, discusses the relationship between cloud management and governance, and describes the development of a cloud service capability assessment model; examines cloud applications in higher education, including the use of knowledge-as-a-service in the provision of education, and cloud-based e-learning for students with disabilities.
Book Synopsis Digital Transformation for Sustainability by : Jorge Marx Gómez
Download or read book Digital Transformation for Sustainability written by Jorge Marx Gómez and published by Springer Nature. This book was released on 2022-12-01 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents case studies to analyse the relationship between sustainability – environmental, social, institutional and economic – and digital innovation. The respective contributions offer a contextualisation of the main present and future trends concerning these two elements, and present analyses from economic, technical, managerial, and social perspectives alike. The individual sections of the book focus on interactions between sustainability and digital innovation in existing organisations and highlight the new opportunities, challenges and threats that may emerge as a result. The contributions are mainly based on case studies and research conducted in Europe and Africa, with a few focusing on Southeast Asia and Central America, and were prepared by experts in the fields of Information Systems, Computer Science, Social Development, and Economics.
Book Synopsis Martial Arts and Well-being by : Carol Fuller
Download or read book Martial Arts and Well-being written by Carol Fuller and published by Routledge. This book was released on 2019-12-06 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Martial Arts and Well-Being explores how martial arts as a source of learning can contribute in important ways to health and well-being, as well as provide other broader social benefits. Using psychological and sociological theory related to behaviour, ritual, perception and reality construction, the book seeks to illustrate, with empirical data, how individuals make sense of and perceive the value of martial arts in their lives. This book draws on data from over 500 people, across all age ranges, and powerfully demonstrates that participating in martial arts can have a profound influence on the construction of behaviour patterns that are directly linked to lifestyle and health. Making individual connections regarding the benefits of practice, improvements to health and well-being – regardless of whether these improvements are ‘true’ in a medical sense – this book offers an important and original window into the importance of beliefs to health and well-being as well as the value of thinking about education as a process of life-long learning. This book will be of great interest to a range of audiences, including researchers, academics and postgraduate students interested in sports and exercise psychology, martial art studies and health and well-being. It should also be of interest to sociologists, social workers and martial arts practitioners. The Open Access version of this book, available at http://www.taylorfrancis.com/doi/view/10.4324/9781315448084, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
