Here are 100 books that Bursts fans have personally recommended if you like
Bursts.
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My passion for visions and pathways to a better world is based on three main cornerstones: (1) The discontent with the current state of affairs in our immediate cultural environment as well as in geopolitics. (2) My belief is that successful action needs visions, including scientific visions. (3) The experience that visions interact with their Implementation; they actually live by being put into (partial) existence. And since we are all parts of the same biological species, we are able to develop also via writing and reading.
This is a very old book–written when merchant capitalism just started to take off. It always impresses me–I have read it several times now–how 500 years ago, such an agglomeration of innovative ideas, of visions for a future society, could have been formulated.
A vision, that today is as vibrant and thought-provoking for an author and scientist like me, as it must have been at the time when it was written. Simply stupendous!
First published in Latin in 1516, Utopia was the work of Sir Thomas More (1477–1535), the brilliant humanist, scholar, and churchman executed by Henry VIII for his refusal to accept the king as the supreme head of the Church of England. In this work, which gave its name to the whole genre of books and movements hypothesizing an ideal society, More envisioned a patriarchal island kingdom that practiced religious tolerance, in which everybody worked, no one has more than his fellows, all goods were community-owned, and violence, bloodshed, and vice nonexistent. Based to some extent on the writings of Plato…
Many of the words used to describe disease ('infection', 'transmission', 'virus') are also used to characterize cyber security (for example: a computer is infected by a virus that can be transmitted to other currently uninfected computers). Using models from the population biology of disease shows this correspondence much deeper than…
I was sick as a child and bedridden for several months. This was before 24/7 TV and computers. I began to read A LOT. I read everything and anything that I could find, but my favorite topics were animals and nature. I also read science fiction and fantasy. It’s not a surprise that those topics merged into my writing and life. I currently live on five acres that I’ve left mostly for the wildlife. My nephew calls me his aunt who lives in the forest with reindeer. That is way cooler than my real life, so I’m good with that. All my books have nature and friendship as main themes.
I found this a fun and brilliant story. I actually read it to my three nieces when they were 5, 7, and 11. It was great hearing their opinions on the story. It’s one of those books that can be understood on different levels.
In the simplest form, it is exactly what is written on the pages—a story about some farm animals who take over the farm. However, there are many layers to this simple tale.
I love being able to re-read a book and understand it on a different level each time. To me, that is excellent writing, especially when combined with a fun and entertaining tale.
The perfect edition for any Orwell enthusiasts' collection, discover Orwell's classic dystopian masterpiece beautifully reimagined by renowned street artist Shepard Fairey
'All animals are equal. But some animals are more equal than others.'
Mr Jones of Manor Farm is so lazy and drunken that one day he forgets to feed his livestock. The ensuing rebellion under the leadership of the pigs Napoleon and Snowball leads to the animals taking over the farm. Vowing to eliminate the terrible inequities of the farmyard, the renamed Animal Farm is organised to benefit all who walk on four legs. But as time passes,…
My passion for visions and pathways to a better world is based on three main cornerstones: (1) The discontent with the current state of affairs in our immediate cultural environment as well as in geopolitics. (2) My belief is that successful action needs visions, including scientific visions. (3) The experience that visions interact with their Implementation; they actually live by being put into (partial) existence. And since we are all parts of the same biological species, we are able to develop also via writing and reading.
In 2011, I spent a semester in London; I had arranged to meet Eric Hobsbawm, the famous historian whom I adored. Unfortunately, he was too ill when I arrived and died before I could meet him. In this book he did not only surprise me with his insight into episodes of rebellions and revolutions, what is even more scintillating is that he mixes all that with the evolving emergence of the particular world of jazz.
Rarely a personality with such broad scientific knowledge has managed to be so uncommonly common in its very specific empathy for a particular cultural obsession. The book shows how important it is to walk on two feet: The ordinary animal within its species and the extraordinary scientific observer, letting his spirit fly above singular events.
These 26 essays range over the history of working men and women between the late18th century and the present day. They include Hobsbawm's pioneering studies in labour history and social protest - the formation of the British workin class, labour custom and traditions, the political radicalism of 19th century shoemakers, male and female images in revolutionary movements, the machine-breakers, revolution and sex, peasants and politics, the rules of violence, the common-sense of Tom Paine. There are more recent reflections: on the May Day holiday; the Vietnam War; socialism and the avantgarde; Mario Puzo, the Mafia and the Sicilian bandit Salvatore…
Many of the words used to describe disease ('infection', 'transmission', 'virus') are also used to characterize cyber security (for example: a computer is infected by a virus that can be transmitted to other currently uninfected computers). Using models from the population biology of disease shows this correspondence much deeper than…
My passion for visions and pathways to a better world is based on three main cornerstones: (1) The discontent with the current state of affairs in our immediate cultural environment as well as in geopolitics. (2) My belief is that successful action needs visions, including scientific visions. (3) The experience that visions interact with their Implementation; they actually live by being put into (partial) existence. And since we are all parts of the same biological species, we are able to develop also via writing and reading.
This book reached me when I was a young rebellious man in 1971, and it had an immediate impact on my behavior. The youth revolt that we not only could watch on TV since 1968, but which we also could live with our anti-authoritarian behavior at schools, universities, and at work, this new style was given a fresh and funny voice in this book.
Later, Frank Zappa elevated it to more intellectual grounds in lyrics and Jazz-Rock. But for me, Rubin's book still is the best starter for getting the original spirit of the youth revolt of 68.
Slight damage to frt corners, Split 2" down bk cvr from top of bk edge of spine, old sticker removed inside frt cvr. Btm of spine taped. Good reading copy. Intro by Eldridge Cleaver. Insight into the 1960's social change.
In my career as an academic librarian, I was often asked to teach students to think about the credibility of the information they incorporate into their academic, professional, personal, and civic lives. In my teaching and writing, I have struggled to make sense of the complex and nuanced factors that make some information more credible and other information less so. I don’t have all the answers for dealing with problematic information, but I try hard to convince people to think carefully about the information they encounter before accepting any of it as credible or dismissing any of it as non-credible.
I constantly recommend The Data Detective because it serves as an unmatched handbook for making sense of the statistical data to which we are constantly exposed.
What I like about it, besides its lively, readable style, is that the book convincingly and clearly explains 1) why we need statistical data to make informed decisions, 2) the factors that go into producing reliable statistics, 3) the factors that can produce unreliable statistics, and 4) how any statistics, reliable or not, can be misused to deceive us.
The author, Tim Harford, is an economist who writes for the Financial Times and hosts the brilliant podcast Cautionary Tales.
From “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics.
Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss…
I’ve wanted to be a philosopher since I read Plato’s Phaedo when I was 17, a new immigrant in Canada. Since then, I’ve been fascinated with time, space, and quantum mechanics and involved in the great debates about their mysteries. I saw probability coming into play more and more in curious roles both in the sciences and in practical life. These five books led me on an exciting journey into the history of probability, the meaning of risk, and the use of probability to assess the possibility of harm. I was gripped, entertained, illuminated, and often amazed at what I was discovering.
I found a copy of this book in the sixties. That copy, much loved, was lost in moves and mayhem. Now, I only have a Dover reprint (water-logged during yet another move), but I have never been without and would search high and low if I were.
This is also a history of probability but with a very different focus. Ms. David was a statistician able to explain the calculations intuitively (good to assign to my students). But she was also thoroughly interested in the personalities involved. What was Galileo like? What happened to Pascal at Port-Royal?
I felt personally drawn into the historical narrative that often reads like a novel.
The development of gambling techniques led to the beginning of modern statistics, and this absorbing history illustrates the science's rise with vignettes from the lives of Galileo, Fermat, Pascal, and others. Fascinating allusions to the classics, archaeology, biography, poetry, and fiction endow this volume with universal appeal. 1962 edition.
I taught for 45 years at Ithaca College broken by two years as Fulbright Professor in West Africa at the University of Liberia. During my years in academia, I developed several new courses including a popular “Math in Africa” class and the first U.S. course for college credit in chess theory. I’ve always had a passion for and continue to have strong interests in (1) national educational and social issues concerning equal access to math education for all and (2) teaching others about the power of mathematics and statistics to help one more deeply understand social issues.
Statistics is shown to be anything but dry in this book, as using wit, intuition, and clarity, the author shows how statistical concepts relate to everyday life.
He is able to separate important ideas from overly technical details, hence the title, Naked Statistics. I took many of his approaches to heart in my teaching. Wheelan gives many examples of how using readily available data yields deep inferences about the world we live in.
Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
In sixth grade, my teacher tried to teach the class how to read line charts – and something fell into place for me. Ever since then, I’ve tried to sort data into forms that we can use to make sense of it. As a researcher at Microsoft, I consulted with teams across the organization – from sales to legal; and from Excel to XBox – to help them understand their data. At Honeycomb, I design tools for software operations teams to diagnose their complex systems. These books each gave me an “ah-hah” moment that made me think differently about the craft of creating visualization. They now sit on my shelf in easy reach – I hope you find them fascinating too.
I learned Tukey’s name about as soon as I learned that data visualization existed as more than a menu in Excel and a personal obsession. Tukey coined the term “exploratory data analysis,” and so tapped into a passion for swimming around in all the interesting rows and columns. Tukey was working before computers were widespread, and so I got a view of how he saw data: working against the constraints of pencil and paper; keeping your hand moving as fast as possible. While the explorations we can do with gigabytes of memory and powerful rendering are very different, the goal of getting information into your head as fast as possible is unchanged.
This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearson.com/statistics-classics-series for a complete list of titles.
The approach in this introductory book is that of informal study of the data. Methods range from plotting picture-drawing techniques to rather elaborate numerical summaries. Several of the methods are the original creations of the author, and all can be carried out either with pencil or aided by hand-held calculator.
0134995457 / 9780134995458 EXPLORATORY DATA ANALYSIS (CLASSIC VERSION), 1/e
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.
From well-known authorities in the R-sphere (including a former R Core Team member), this is a long-standing text whose first edition was one of the early books intended to teach R to beginners. It provides concise instructions and examples on how R is used as a programming language before focusing on 'number-crunching' statistical methods that are typically seen as computationally intensive. One of the notable features of this book is the statistical methods at hand are not just illustrated using 'black-box' code--the reader is provided with the necessary mathematical detail to understand what's going on behind the scenes for those that are so inclined.
This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box-Muller and Metropolis-Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most…
I started my career as a research scientist building machine learning algorithms for weather forecasting. Twenty years later, I found myself at a precision agriculture startup creating models that provided guidance to farmers on when to plant, what to plant, etc. So, I am part of the movement from academia to industry. Now, at Google Cloud, my team builds cross-industry solutions and I see firsthand what our customers need in their data science teams. This set of books is what I suggest when a CTO asks how to upskill their workforce, or when a graduate student asks me how to break into the industry.
What if you are faced with a problem for which a standard approach doesn’t yet exist? In such a case, you will need to be able to figure out the approach from the first principles. This book will help you learn how to derive insights starting from raw data.
'A statistical national treasure' Jeremy Vine, BBC Radio 2
'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force' Popular Science
Do busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.
Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way…
