Here are 70 books that Mismeasuring Schools' Vital Signs fans have personally recommended if you like
Mismeasuring Schools' Vital Signs.
Shepherd is a community of 12,000+ authors and super readers sharing their favorite books with the world.
I was trained as a mathematician but have always been motivated by problem-solving challenges. Statistics and analytics combine mathematical models with statistical thinking. My career has always focused on this combination and, as a statistician, you can apply it in a wide range of domains. The advent of big data and machine learning algorithms has opened up new opportunities for applied statisticians. This perspective complements computer science views on how to address data science. The Real Work of Data Science, covers 18 areas (18 chapters) that need to be pushed forward in order to turning data into information, better decisions, and stronger organizations
The text covers classic statistical inference, early computer-age methods, and twenty-century topics. This puts a unique perspective on current analytic technologies labeled machine learning, artificial intelligence, and statical learning. The examples used provide a powerful description of the methods covered and the compare and contrast sections highlight the evolution of analytics. This book by Efron and Hastie is a natural follow-up source for readers interested in more details.
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? How does it all fit together? Now in paperback and fortified with exercises, this book delivers a concentrated course in modern statistical thinking. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic…
As a child my heroes were designers and I thought designers could design across many disciplines, this was what I understood and aspired to. I'm fortunate to have been a designer, illustrator, and design teacher for many years. Passionate about the process I firmly believe if you can design in one area you can design in another. Understanding your material's potential is the key. As a tutor and author my job is to unwrap a student’s talent, support and encourage that unique view through skills building and advice to help them. I believe good design can solve many of the world’s problems and passing on that message is valuable.
Ching has a great gift for illustrating with his visuals, and his amazing handwritten text, all manner of information about drawing and designing space. This is a comprehensive and instructional book introducing design drawing from basic principles to the communication of designed space as a structural diagram or atmospheric perspective. A wonderful exploration of sketching and drawing methods to illustrate theory, atmosphere, and the communication of three-dimensional space. For me, it transcended the textbook approach and provided a clear exploration of the communication of design method and its potential outcomes.
THE CLASSIC GUIDE TO DRAWING FOR DESIGNERS, REVISED AND UPDATED TO INCLUDE CURRENT DIGITAL-DRAWING TECHNIQUES
Hand drawing is an integral part of the design process and central to the architecture profession. An architect's precise interpretation and freedom of expression are captured through hand drawing, and it is perhaps the most fundamental skill that the designer must develop in order to communicate thoughts and ideas effectively. In his distinctive style, world-renowned author Francis D. K. Ching presents Design Drawing, Third Edition, the classic guide to hand drawing that clearly demonstrates how to use drawing as a practical tool for formulating and…
I’m an applied statistician and academic researcher/lecturer at New Zealand’s oldest university – the University of Otago. R facilitates everything I do – research, academic publication, and teaching. It’s the latter part of my job that motivated my own book on R. From first-year statistics students who have never seen R to my own Ph.D. students using R to implement novel and highly complex statistical methods and models, my experience is that all ultimately love the ease with which the R language permits exploration, visualisation, analysis, and inference of one’s data. The ever-growing need in today’s society for skilled statisticians and data scientists means there's never been a better time to learn this essential language.
An authoritative tome on R. This book is the ultimate reference guide, heavy on statistical methods from the simple to the advanced. Of the 29 chapters, only the first five chapters or so have R syntactical and programming skills as their main focus; the remaining content highlights the many and varied statistical techniques R is capable of. I think this is a fantastic book to have on the shelf for people who are likely to need R and its contributed packages for a variety of different statistical analyses, but might not know where to initially start for any given statistical method.
Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition: * Features full colour text and extensive graphics throughout. * Introduces a clear structure with numbered section headings to help readers locate information more efficiently. * Looks at the evolution of R over the…
I am an economist who came to realize that the marketplace of ideas was a political doctrine, and not an empirical description of how we came to know what we think we know. Science has never functioned in the same manner across centuries; it was only during my lifetime that it became recast as a subset of market reality. I have spent a fair amount of effort exploring how economics sought to attain the status of a science; but now the tables have turned. It is now scientists who are trained to become first and foremost market actors, finally elevating the political dominance of the economists.
Edwards revealed how the very architecture of early computers owed a debt to the political structures of the Cold War. The innovation of a command/control/information infrastructure set the template for military regimentation, and subsequently for the surveillance society we currently inhabit. The story of how cybernetics—a field that never quite made the grade as pure science—nevertheless conquered the culture, is fascinating.
The Closed World offers a radically new alternative to the canonical histories of computers and cognitive science. Arguing that we can make sense of computers as tools only when we simultaneously grasp their roles as metaphors and political icons, Paul Edwards shows how Cold War social and cultural contexts shaped emerging computer technology―and were transformed, in turn, by information machines.
The Closed World explores three apparently disparate histories―the history of American global power, the history of computing machines, and the history of subjectivity in science and culture―through the lens of the American political imagination. In the process, it reveals intimate…
As a professional statistician, I am naturally interested in AI and data science. However, in our current information age, everyone, in all segments of society, needs to understand the basics of AI and data science. These basics include such things as what these disciplines are, what they can contribute to society, and perhaps most importantly, what can go wrong. However, I have found that much of the literature on these topics is highly technical and beyond the reach of most readers. These books are specifically selected because they are readable by virtually everyone, and yet convey the key concepts needed to be data-literate in the 21st century. Enjoy!
Books on AI often go to extremes, either promoting it as the solution to all the world’s problems, or depicting it as an evil that will destroy humanity.
This book is much more practical, and based on experience using AI in actual business applications. It is the result of considerable research, involving investigation of applications not only in silicon-valley, but from various business sectors, such as Airbus, Ping, Progressive Insurance, and Capital One Bank.
Don’t let the title fool you; this book is not simply a promotion of AI, but addresses the practical issues that have to be considered if success is to be achieved. For example, they argue that “the most important aspect in AI success is not machinery, but human leadership, behavior, and change.”
A fascinating look at the trailblazing companies using artificial intelligence to create new competitive advantage, from the author of the business classic, Competing on Analytics, and the head of Deloitte's US AI practice.
Though most organizations are placing modest bets on artificial intelligence, there is a world-class group of companies that are going all-in on the technology and radically transforming their products, processes, strategies, customer relationships, and cultures.
Though these organizations represent less than 1 percent of large companies, they are all high performers in their industries. They have better business…
I’ve been making web pages since the World Wide Web began in the mid-1990s. Back then, the web was visually quite sparse. It wasn’t until the late 2000s that new browser capabilities let the web getvisually interestingand an exciting place for interactive graphics. Graphics are great: they can be informational (like charts and maps) or purely aesthetic. My personal journey of learning to code interactive graphics has been so rewarding that I’ve shared the love with others through teaching creative coding workshops and undergraduate courses. If you’re new to coding or computer graphics, I hope you’ll give one of these books a try!
This book changed my life. Known simply as “the blue book” in creative coding circles, I discovered this in a bookstore in Cambridge, Mass., just blocks from where Casey and Ben had created Processing at MIT (and then wrote this book). It opened me up to Processing—their programming language for artists and designers—but also to code as a creative medium. Until then, I saw code as a dry, tedious way to fight with computers. Now I know that code can be just as expressive, engaging, and emotional as prose and poetry.
While the syntax in this book is for Processing (which you can download and run on your computer for free), the concepts are equally applicable to p5.js (which runs in a web browser, also for free).
The new edition of an introduction to computer programming within the context of the visual arts, using the open-source programming language Processing; thoroughly updated throughout.
The visual arts are rapidly changing as media moves into the web, mobile devices, and architecture. When designers and artists learn the basics of writing software, they develop a new form of literacy that enables them to create new media for the present, and to imagine future media that are beyond the capacities of current software tools. This book introduces this new literacy by teaching computer programming within the context of the visual arts. It…
I moved into content design from a career in brand and marketing, at a time when the discipline was emerging and not many people really knew what it was. Much of my time since has been spent educating people and organisations and sharing knowledge to help them make better content decisions. Throughout this time, I’ve learnt most of what I know through the experience of working with the design teams, but so many books have also helped me along the way and made my work so much better. I love content design – having the power to improve people's experiences with brands through words is so rewarding, and these books will inspire others to do the same.
I’m picking this book because it’s actually useful for anyone in content, whether you’re a marketing strategist, UX writer, or content designer. It’s easy to read, and a lovely overview of creating more effective content – with guidance on how to adapt tone for different scenarios, and a brilliant exercise for proposition development. It was one of the first books I read about web content, and still one of the books I refer back to again and again.
Whether you're new to web writing, or you're a professional writer looking to deepen your skills, this book is for you. You'll learn how to write web copy that addresses your readers' needs and supports your business goals.
Learn from real-world examples and interviews with people who put these ideas into action every day: Kristina Halvorson of Brain Traffic, Tiffani Jones Brown of Pinterest, Randy J. Hunt of Etsy, Gabrielle Blair of Design Mom, Mandy Brown of Editorially, Sarah Richards of GOV.UK, and more. Topics include:
* Write marketing copy, interface flows, blog posts, legal policies, and emails * Develop…
I have worked in the field of machine learning and predictive analytics for many years. Having started out as a technical specialist, I have become increasingly interested in the legal, ethical, and social aspects of these subjects. This is because it is these “soft issues” that often determine how successful these technologies are in practice and if they are viewed as a force for good or evil in wider society. This has led me to write several books focusing on the practical and cultural aspects of these subjects and how best to apply them for the benefit of business, individuals, and wider society.
Many writers have discussed the dangers that artificial intelligence and machine learning represent to our livelihoods, and how clever computers and autonomous robots will supplant us all in the workplace. What I like about this book is that it provides an alternative, and very optimistic, view of how these new technologies are being deployed. The authors present a future based on a partnership, in which artificial intelligence-based tools work in tandem with human workers, enhancing what individuals can do in the workplace rather than replacing them.
AI is radically transforming business. Are you ready?
Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?
In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show…
I’m an applied statistician and academic researcher/lecturer at New Zealand’s oldest university – the University of Otago. R facilitates everything I do – research, academic publication, and teaching. It’s the latter part of my job that motivated my own book on R. From first-year statistics students who have never seen R to my own Ph.D. students using R to implement novel and highly complex statistical methods and models, my experience is that all ultimately love the ease with which the R language permits exploration, visualisation, analysis, and inference of one’s data. The ever-growing need in today’s society for skilled statisticians and data scientists means there's never been a better time to learn this essential language.
This provides a superb balance between technical aspects of R coding and the statistical methods that motivate its use. It's rare to find a book on topics like this that are written with Kabacoff's easygoing yet precise style, which makes it ideal for beginners. From my own experience, it is obvious the author has spent many years teaching this type of content, knowing where things deserve extra explanation up front and where other more technical details can be relegated to more advanced texts.
R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.
R in Action, Second Edition is language tutorial focused on practical problems. Written by a research methodologist, it takes a direct and modular approach to quickly give readers the information they need to produce useful results. Focusing on realistic data analyses and a comprehensive integration of graphics, it follows the steps that…
For the last 25 years, I have been a coach to business founders, leaders, and leadership teams. My work has taken me to every continent from my base in London. A lot of my work is done behind closed doors, but I have been instrumental in building two unicorns in the last decade. I’m a founder myself and have always been fascinated by what it takes to succeed as a founder. I have a powerful conviction that learning to lead is the heart of it. The books I love are either based on real-world research or deeply practical and based on hands-on experience. Practice trumps theory every time in my world!
I love the fact that Ali has provided evidence that ANYONE can succeed as a founder. He has done a lot of number-crunching on ‘unicorns’ (I admire his tenacity for that!) and examined what makes a successful startup founder and some surprises emerge.
Age, education, and number of cofounders were not predictors of a startup’s success, as many of us might have expected. The big thing that does matter is experience. Sixty percent of unicorn founders had previously launched startups. It seems that in pretty much every walk of life, including this one, practice is the key.
Every VC wants to find the next billion dollar company to invest in, and every startup wants to become one. Ali Tamaseb set out to find patterns in the backgrounds, methods, and trajectories of these companies, gathering and analyzing 40,000 data points about the 200+ billion dollar companies and the people who founded them. And you'll be surprised by what he discovered:
* Half of unicorn founders are over 35; * Most founders don't have any directly relevant work experience in the industry they're disrupting; * There's no disadvantage to being a solo founder; * Sixty percent of billion dollar…
