Here are 100 books that Bed of Rose and Thorns fans have personally recommended if you like
Bed of Rose and Thorns.
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I love knowing about things. Science is both a knowledge base and a way to discover new knowledge. I’ve been looking through microscopes and telescopes (that my dad built) from my earliest toddling. Though I have never been to university I have picked the brains of my scientific siblings (one of whom is a biology professor) and I read widely. Gathering crumbs from many sources gives a wider knowledge base than one university child afford. Scientists begin with speculation. I love inventing systems and worlds where we break one or a few of our known laws of nature or physics. Marrying science with fantasy births marvelous offspring!
Lost, confused, and feeling the victim, Ethan visits Thailand. He falls down a sinkhole into an alternate reality. Even more lost among really weird people, feeling even more confused and victimized, he learns the true meaning of life. But can he get back to live his real life?
Who hasn’t tumbled into Ethan’s emotions? We go along thinking we’re doing good and suddenly the worst happens. We didn’t deserve any of it yet we’re stuck alone and destitute in it.
Ethan meets an archaeologist who introduces him to indigenous people and their ghost stories. I love cultural studies, sociology, archaeology, anthropology, and linguistics, all sciences represented in this story. Reality gets smudged and blurred, but love, loyalty, and forgiveness remain true and unshaken in this beautiful story of redemption.
In this debut novel from Connie Mae Inglis, readers travel with Ethan Adam on his quest to find answers to questions he has barely articulated.
All his life, Ethan's felt betrayed by the ones he's loved.
Feeling homeless, and without hope, Ethan travels from the Canadian prairies to Southeast Asia, searching for he knows not what.
When his path crosses with an archaeologist heading to an unexplored area of northern Myanmar, Ethan goes on a journey into an Edenesque world of welcoming telepathic humans, strange voices, and a cunning enemy. For what purpose? He doesn't know.
I love knowing about things. Science is both a knowledge base and a way to discover new knowledge. I’ve been looking through microscopes and telescopes (that my dad built) from my earliest toddling. Though I have never been to university I have picked the brains of my scientific siblings (one of whom is a biology professor) and I read widely. Gathering crumbs from many sources gives a wider knowledge base than one university child afford. Scientists begin with speculation. I love inventing systems and worlds where we break one or a few of our known laws of nature or physics. Marrying science with fantasy births marvelous offspring!
Gripping character introductions, organic magic systems, extraordinary world-building, and superb writing. I felt the fire burn Selah and the yearning in William’s heart to do good despite loyalty to faulty leadership. Fighting galore!
I love weaving on a loom. I almost always write a weaver into my novels and Walker-Henderson’s series has a weaver too!
The Legendaries’ abilities - speed, strength, magnetic attraction, lung capacity, and resistance to fire are measurable and augmented in this story. Through the whole series geography is explored. Each Legendary comes from a different environment and climate. Selah comes from the desert. William comes from the mountains with mixed forest. They travel to the plains and the icy regions in their quest for the ancient relic that gives the possessor power over their destiny.
In a land of legends, three rival nations hunt the ancient relic that can control rare and powerful warriors.
With lightning speed and an affinity for knives, Desa is a legendary, one of the warriors the relic can enslave.
Disguised as a mercenary, she joins a band of enemy warriors who also hunt the relic. In the height of battle, a startling connection links her to their leader.
Will he help her find the relic or betray her for the glory of his northern kingdom? His aid could be worth the risk.
I love knowing about things. Science is both a knowledge base and a way to discover new knowledge. I’ve been looking through microscopes and telescopes (that my dad built) from my earliest toddling. Though I have never been to university I have picked the brains of my scientific siblings (one of whom is a biology professor) and I read widely. Gathering crumbs from many sources gives a wider knowledge base than one university child afford. Scientists begin with speculation. I love inventing systems and worlds where we break one or a few of our known laws of nature or physics. Marrying science with fantasy births marvelous offspring!
The older, wiser, and less magical Tamborel must protect Caidy. Her family and village suffer from, and do all they can to stop her from growing into her powers. Through hard work and sacrifice, Tamborel lifts Caidy out of darkness and defeats depression.
The science of music and sound play on my emotions throughout the story.
People with ADHD and Autism are similarly misunderstood. They can be hindered by neuro-typical people to “limit the damage” they may “inflict” on “normal” society. Caidy stirred my sympathy for these people. Knowledge and seeking are the basis of science, not the having of right answers. Tamborel uses his love to seek the knowledge that will set Caidy free.
Seems to be out of print. Any good second-hand store will have it.
Caidrun is born into Alyafaleyn - Region of Harmonies - where golden spheres, heynim, float in the air. Their gentle chiming uphold the very world's existence. While the ability to control the chimes usually comes in adolescence, Caidrun pulls a huge mass of them to her at lethal speed before she is two. A young boy, Tamborel, shields her from their impact and is badly hurt. People decide she has to be protected from herself. Deprived of the chimes, she grows up tone-deaf and filled with rage. Finally, she scatters someone's heynim and runs off. Tamborel sets out to find…
I love knowing about things. Science is both a knowledge base and a way to discover new knowledge. I’ve been looking through microscopes and telescopes (that my dad built) from my earliest toddling. Though I have never been to university I have picked the brains of my scientific siblings (one of whom is a biology professor) and I read widely. Gathering crumbs from many sources gives a wider knowledge base than one university child afford. Scientists begin with speculation. I love inventing systems and worlds where we break one or a few of our known laws of nature or physics. Marrying science with fantasy births marvelous offspring!
I admit this one is a stretch, but the writing and premise are superb and worthy of recommendation. Many experiments have been done trying to prove or disprove telepathy and telekinesis, which are the magic in Rossano’s Talented. Quantum physics is moving in this direction. All our speculations may predict the future!
I am impressed with the family system in these books. The seventh son is special. The seventh son of a seventh son (Sept Son) is a ruler. Suddenly a daughter is born and blows everyone’s expectations and ambitions to smithereens. She has powers like a seventh son. Her love for the Sept Son threatens the kingdom.
In a world where seventh born sons are valued for their strength and power, she is born a daughter.
Zezilia Ilar is the disappointment. Born after six brothers, she was supposed to be the son to restore her family’s prestige. She intends to remedy her shortcomings by being a dutiful daughter, marrying well and producing children, preferably a set of seven sons. But when someone offers her an alternative, she begins to dream of more.
In a society that worships a goddess, he follows the Almighty.
Hadrian Aleron, as a seventh son of a seventh son, stands to take up…
I am a professor of quantum physics—the most notoriously complicated science humans have ever invented. While the likes of Albert Einstein commented on how difficult quantum physics is to understand, I disagree! Ever since my mum asked me—back while I was a university student—to explain to her what I was studying, I’ve been on a mission to make quantum physics as widely accessible as possible. Science belongs to us all and we should all have an opportunity to appreciate it!
In How to Teach Quantum Physics to Your Dog Chad Orzel has an imaginary conversation about quantum physics with his dog, Emmy. Orzel explains each of the features of quantum physics, like superposition and entanglement, by starting first with an analogy in Emmy’s understandably dog-like behavior.
Quantum physics has never been more popular. Once thought of as an obscure science, it reached the masses via the notion of teleportation in Star Trek and, more recently, as an integral part of the popular TV series Lost and Fringe. Now, inspired by his hugely popular website and science blog, Chad Orzel uses his cherished mutt Emmy to explain the basic principles of quantum physics. And who better to explain the magical universe of quantum physics than a talking dog?
I've had a long-time interest in two things: mathematics and social issues. This is why I got degrees in social work (Masters) and sociology (PhD) and eventually focused on the quantitative aspects of these two areas. Social Workers Count gave me the chance to marry these two interests by showing the role mathematics can play in illuminating a number of pressing social issues.
Many quant geeks are familiar with statistics. The dominant school of statistical thought is called "Frequentist" or "Classical."
It focuses on either 1) testing a given hypothesis by determining how likely observed data are on the assumption that the hypothesis is true or 2) constructing intervals for which a certain percentage of them contain the actual value of whatever is being estimated.
A lesser known, although this seems to be changing, school of thought is Bayesian statistics. It focuses on using prior information about some phenomenon in order to revise or update one's beliefs about it.
If you're into stats but don't know much about Bayesian statistics, Donovan and Mickey's book is a great place to start. It's somewhat mathematical but covers the technical aspects much more accessibly that any other book I've seen on the topic.
Bayesian statistics is currently undergoing something of a renaissance. At its heart is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. It is an approach that is ideally suited to making initial assessments based on incomplete or imperfect information; as that information is gathered and disseminated, the Bayesian approach corrects or replaces the assumptions and alters its decision-making accordingly to generate a new set of probabilities. As new data/evidence becomes available the probability for a particular hypothesis can therefore be steadily refined and…
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.
Can you love a book that you disagree with? I do! I love this extravagant account of how Bayesian Statistics was enmired in controversy and, after 200 years, saved everything from Western Civilization to Captain Dreyfus.
I don’t think that Bayesian statistics is the foundation of all rational thought, but I am happy to celebrate all its wonderful achievements. Every page of this book is lively and personal, engrossing, entertaining, masterful…all of that.
A New York Times Book Review Editor's Choice: A vivid account of the generations-long dispute over Bayes' rule, one of the greatest breakthroughs in the history of applied mathematics and statistics
"An intellectual romp touching on, among other topics, military ingenuity, the origins of modern epidemiology, and the theological foundation of modern mathematics."-Michael Washburn, Boston Globe
"To have crafted a page-turner out of the history of statistics is an impressive feat. If only lectures at university had been this racy."-David Robson, New Scientist
Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new…
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!
This book, by Nate Silver of 538 fame, explains in a straightforward manner why so many predictions by “experts,” from weather forecasts to sports outcomes to election polling to economics, ultimately prove wrong.
It relates to understanding the “signal,” the underlying science that is often revealed through trends and patterns in data, relative to the “noise,” the random or unpredictable variations always present in data. Silver also explains the concept of conditional probability, probability when provided with some relevant information, in an unusually clear manner.
The book reads more like a casual conversation with the author, rather than a statistics textbook.
UPDATED FOR 2020 WITH A NEW PREFACE BY NATE SILVER
"One of the more momentous books of the decade." —The New York Times Book Review
Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger—all by the time he was thirty. He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of the website FiveThirtyEight.
Drawing on his own groundbreaking work, Silver examines the world of prediction,…
I have been building real-time, production machine learning models for over 20 years. My book, and my book recommendations, are informed by that experience. I have a lot of empathy for people who are new to machine learning because I’ve taught courses on the topic. I founded the Advanced Solutions Lab at Google where we helped data scientists working for Google Cloud customers (who already knew ML) become ML engineers capable of building reliable ML models. The first two are the books I’d recommend today to newcomers and the last three to folks attending the ASL.
Even if you have the practical knowledge, it's sometimes necessary to understand the mathematical and theoretical concepts that underlie the machine learning approaches you are using. This book is a great introduction to the world of ML theory.
WARNING: will not work on e-ink Kindle devices! Peter Norvig, Research Director at Google, co-author of AIMA, the most popular AI textbook in the world: "Burkov has undertaken a very useful but impossibly hard task in reducing all of machine learning to 100 pages. He succeeds well in choosing the topics — both theory and practice — that will be useful to practitioners, and for the reader who understands that this is the first 100 (or actually 150) pages you will read, not the last, provides a solid introduction to the field."
Aurélien Géron, Senior AI Engineer, author of the…
I started my career in tourism but soon discovered my passion for urban heritage. Working as a site manager for a world heritage site, I gathered extensive insights on various levels of heritage management and urban governance from many colleagues around the world. Today there is no single project or meeting that does not address the challenges of climate change. Obtaining my Ph.D. late in life, in Heritage-Based Urban Development, I quicklybecame convinced that the traditional ideas of what cultural heritage is do not reflect the situation today and hinder giving cultural heritage a role in climate change prevention and adaption, beyond the narrative that it has to be preserved.
This book gives a great overview of traditional architecture around the world and how it was designed for specific climates.
With great images and descriptions, this book is able to broaden your horizon and help you to discover fabric, design, and uses that can also serve to develop new ideas and solutions that can potentially be transferred into your own context.
Rather than going very deep into examples, it provides more of an overview that can trigger creativity and imagination in the early phases of projects.
A compact edition of this landmark publication, which celebrates humanity's ability to create buildings that for millennia have responded ingeniously to cultural and environmental conditions.
There has never been a more important time to understand how to make the best use of local natural resources and create buildings that do not rely on stripping our planet or transporting materials across the globe. First published in 2017, this major book gathers together the world's leading experts on vernacular architecture to examine how local buildings have stood the test of time and offer lessons for the future.
