検索キーワード： 数学

Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. Sharon Bertsch McGrayne here explores this controversial theorem and the human obsessions surrounding it.

Darrell Huff's celebrated classic How to Lie With Statistics is a straightforward and engaging guide to understanding the manipulation and misrepresentation of information that could be lurking behind every graph, chart, and infographic. Originally published in 1954, it remains as relevant and necessary as ever in our digital world, where information is king - and as easy to distort and manipulate as it is to access.

È vero che sono i più capaci ad avere successo nella vita? Questo audiolibro parla della fortuna. O meglio, del ruolo che gioca il caso nella nostra vita in generale, nei nostri affari in particolare. Ma parla anche di quella fortuna che, non essendo percepita come tale, viene scambiata per abilità: una confusione presente in molteplici campi, dalla scienza alla politica, dall'arte alla finanza. Quante volte abbiamo visto un idiota baciato dalla fortuna trovarsi nel posto giusto al momento giusto, dimostrazione vivente della "sopravvivenza del meno adatto"?

In this Very Short Introduction audiobook, Richard Earl gives a sense of the more visual elements of topology (looking at surfaces) as well as covering the formal definition of continuity. Considering some of the eye-opening examples that led mathematicians to recognize a need for studying topology, he pays homage to the historical people, problems, and surprises that have propelled the growth of this field.

Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permitted the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.

These stories from Quanta Magazine map the routes of mathematical exploration, showing listeners how cutting-edge research is done, while illuminating the productive tension between conjecture and proof, theory and intuition. Listeners of The Prime Number Conspiracy are headed on "breathtaking intellectual journeys to the bleeding edge of discovery strapped to the narrative rocket of humanity's never-ending pursuit of knowledge," says Quanta editor-in-chief Thomas Lin.

It was Richard Feynman's outrageous and scintillating method of teaching that earned him legendary status among students and professors of physics. From 1961 to 1963, Feynman delivered a series of lectures at the California Institute of Technology that revolutionized the teaching of physics around the world. Six Easy Pieces, taken from these famous Lectures on Physics, represent the most accessible material from the series.

Looking to get started in engineering? Well, you’ve come to the right podcast! Welcome to Your Guide into Engineering. I’m your host, Ashley! I’m here to help you build the confidence and mindset required to engineer your future — one episode at a time. So, if you’re brushing up on math after years away, trying to pass that one class standing between you and your dream, or just wondering if it’s too late, this podcast is here to tell you it’s not. You belong in engineering and we’re going to figure it out together.

Life is uncertain. We are all the result of an unforeseen and unforeseeable sequence of small occurrences. But what underlies this fragile chain of events? Is it random or just complex? And what role does luck play in our lives? David Spiegelhalter has spent his career crunching data in order to help understand uncertainty and assess the chances of what might happen. In The Art of Uncertainty, he gives listeners a window onto how we can all do this better.

What's the Use? asks why there is such a vast gulf between public perceptions of mathematics and reality. It shows how mathematics is vital, often in surprising ways, behind the scenes of daily life. How politicians pick their voters. How an absurd little puzzle solved 300 years ago leads to efficient methods for kidney transplants. How an Irish mathematician's obsession with a new number system improves special effects in movies and computer games. How SatNav relies on at least six mathematical techniques.

In the bestselling The Signal and the Noise, Nate Silver showed how forecasting would define the age of Big Data. Now, in this timely and riveting new book, Silver investigates "The River," or those whose mastery of risk allows them to shape—and dominate—so much of modern life. These professional risk takers—poker players and hedge fund managers, crypto true-believers and blue-chip art collectors—can teach us much about navigating the uncertainty of the 21st century.

Alan Turing was the mathematician whose cipher-cracking transformed the Second World War. Taken on by British Intelligence in 1938, as a shy young Cambridge don, he combined brilliant logic with a flair for engineering. In 1940 his machines were breaking the Enigma-enciphered messages of Nazi Germany's air force. He then headed the penetration of the super-secure U-boat communications.

Causal Inference provides a brief and nontechnical introduction to randomized experiments, propensity scores, natural experiments, instrumental variables, sensitivity analysis, and quasi-experimental devices. Ideas are illustrated with examples from medicine, epidemiology, economics and business, the social sciences, and public policy.

This 10-part history of mathematics reveals the personalities behind the calculations: the passions and rivalries of mathematicians struggling to get their ideas heard. Professor Marcus du Sautoy shows how these masters of abstraction find a role in the real world and proves that mathematics is the driving force behind modern science.

Do you like to make uninformed, often poor decisions? Are you okay with being manipulated by skewed charts and diagrams? How about being lied to about the effectiveness of a product? Statistics can help you make exponentially better calls on what to buy, who to listen to, and what to believe.

These programming languages help in making programs which increase the overall productivity, communication, and efficiency of the work. Out of so many programming languages to choose from, python is one of the most loved programming languages among computer geeks. This is because python is one of those rare languages that is both simple and powerful. Python has everything that you may require to make a new program. If you will see someone writing a program in python, you will be really surprised to see how easy it is in python to find the solution for a problem.

Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory but made accessible through numerous real-world examples - ready for immediate application to your next graph or presentation.

¡Bienvenidos a nuestro podcast! ¡Hola a todos! Soy Miguel Valderrama, y les damos la más cordial bienvenida a “Matemáticas para Todos”. En este espacio, exploraremos el fascinante mundo de las matemáticas de una manera accesible, amigable y, sobre todo, ¡divertida! ¿Por qué “Matemáticas para Todos”? Las matemáticas a menudo se perciben como algo complicado o exclusivo para expertos. Pero creemos firmemente que todos podemos disfrutar y comprender los conceptos matemáticos. Así que, sin importar si eres un estudiante, un profesional o simplemente alguien curioso, este ...

Ever wondered about the use of all this mathematical and computational theory? Welcome to TechTangents, where we go on tangents about real-world applications of the fundamental theories. This is the start of a Podcast with 2 aspiring Maths/Computer Science Students- Pranav Mittal and Rohan Somaia, with the aim of inspiring and educating others, and learning essential skills and knowledge for personal growth and a deeper insight into our futures.

You may have watched hundreds of episodes of The Simpsons (and its sister show Futurama) without ever realising that they contain enough maths to form an entire university course. In The Simpsons and Their Mathematical Secrets, Simon Singh explains how the brilliant writers, some of the mathematicians, have smuggled in mathematical jokes throughout the cartoon’s 25-year history, exploring everything from p to Mersenne primes, from Euler’s equation to the unsolved riddle of P vs. NP, from perfect numbers to narcissistic numbers and much more.