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Data Driven
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 k...
Ethics and Data Science
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.
Thinking with Data
Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills. Thinking with Data helps you learn techniques for turning data into knowledge you can use. You’ll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You’ll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved. Learn a framework for scoping data projects Understand how to pin down the details of an idea, receive feedback, and begin prototyping Use the tools of arguments to ask good questions, build projects in stages, and communicate results Explore data-specific patterns of reasoning and learn how to build more useful arguments Delve into causal reasoning and learn how it permeates data work Put everything together, using extended examples to see the method of full problem thinking in action
What Are the Jobs of the Future?
The rise of robot automation in the automobile manufacturing industry struck fear into many a laborer's heart, as it was equated with human job and career loss. A Ball State University 2015 study found 88 percent of U.S. job loss was due to robots or homegrown factors to reduce factories' need for human labor. The International Federation of Robotics, however reported that between 2010 and 2015, the U.S. automotive sector installed 135,000 robots, but hired 230,000 human employees. So while technology advances, will it replace us in our current jobs, or create new ones for us? Is Data Scientist the most promising job of the future, or is that all techno-hype? Are our office environments going to be replaced by the off-site work-at-home or freelance model? This book compiles essays and works from eyewitness accounts, governmental views, scientific analysis, and newspapers to give your reader the forecast of jobs to come. Salient facts are pulled out from the text and repeated, making it easy for students to compile details for research and report writing.
Data-Driven Talent Management
How can I use insights from people data to develop an inclusive, engaged, high-performing workforce? What data is available and how do I collect it ethically? Data-Driven Talent Management is a practical guide for HR professionals which answers these questions. It outlines effective data collection and analysis methods as well as showing how to develop metrics and key performance indicators to support employee experience. It also provides guidance on how to build a comprehensive talent database by understanding different employee experiences, attributes, skills and journeys. In addition, there is also essential advice on how to leverage data to improve motivation and employee engagement, use data to assess different thought and work styles in the workforce and use the results to build a diverse and inclusive organization that allows all employees and the business to thrive. Full of tools, tips and frameworks and written by a professional who is implementing a data-driven approach to talent management for the US Army, the world's largest employer, this is essential reading for all mid-level and senior HR practitioners.
Toy Stories
Toys--those celebrated childhood cohorts and lead actors in children's imaginative play--have a fantastic history of heroism in fiction. From teddy bears that guard sleeping babies to plastic soldiers and cowboys who lay siege to wooden block castles, toys are often the heroes of the stories children inspire authors to tell. In this collection of new essays, scholars from a great range of disciplines examine fictional toys as protectors of the children they love, as heroes of their own stories, and as champions for the greater good in the writings of A.A. Milne, Hans Christian Andersen, William Joyce, John Lasseter and many others.
Grains of Sand
Closing weeks of 1899. The Mason family return from Ceylon to make a new life in the Victorian seaside town of Southport, in the north west of England. Sarah and Alexander Mason eagerly await the birth of their 2nd child, they hope will be a boy. William is born early on in the new century. Then in a local park Louisa, the Masons' lonely, confused little daughter meets, for the first time, a young ragamuffin called Millie. Their friendship will play an integral part in Louisa's life, albeit against the strong wishes of Louisa's father. Through family tragedy and two world wars, the Masons' lives unfold as generation after generation, chapter after chapter, the years finally lead up to 2000. A new year, a new century and a New Millennium. Only William Mason, born at the very start of the twentieth century, lives on. His children, grandchildren and great grandchildren decide to give this grand old man a special treat to celebrate his 100 year birthday. They will give him the time of his life.
Machine Learners
If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought? Machine learning—programming computers to learn from data—has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as operational algorithms) anchor the field of data science. They have also become mundane mechanisms deeply embedded in a variety of systems and gadgets. In contexts from the everyday to the esote...
Reading by Right
Literacy has now been recognized as a human right for over 50 years in several international declarations and initiatives. Every child has a right to read and we have a social responsibility, as parents, teachers, librarians, publishers, booksellers, campaigners and policy makers to ensure that they are able to exercise that right. Reading by Right: Successful strategies to ensure every child can read to succeed provides a collection of chapters from international experts covering aspects of overcoming reading difficulties or reading reluctance in children and young people. The book reveals strategies that are proving effective in overcoming barriers to reading from birth to teens, looking a...
Identity, Learning and Support in Virtual Environments
Virtual worlds and other virtual environments offer an adaptable context for applied and situated learning experiences. In this book, educators, instructional designers, librarians, administrators and scholars reflect on how to leverage constructivist, authentic, collaborative and complex interactive educational experiences through the use of these multisensory environments. Explore the intersection of presence, personal and group identity, culture, immersive learning experiences, multiuser virtual environments (MUVEs) and massive multiplayer online roleplaying games (MMORPGs) with eleven multidisciplinary researchers. The examples range from K-12 to university educational experiences and highlight critical information from a variety of MUVEs, such as Second Life, Active Worlds, There, and several MMORPGs, including Ultima Online, Everquest and the World of Warcraft.
