Bayes Theorem: The Ultimate Beginner's Guide to Bayes Theorem
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast
$0.99/mes por los primeros 3 meses
Exclusivo para miembros Prime: ¿Nuevo en Audible? Obtén 2 audiolibros gratis con tu prueba.
Bayes Theorem: The Ultimate Beginner's Guide to Bayes Theorem
Compra ahora por $6.95
No default payment method selected.
We are sorry. We are not allowed to sell this product with the selected payment method
-
Narrado por:
-
Tim Carper
-
De:
-
Arthur Taff
Acerca de esta escucha
Perfect for beginners wanting to learn about Bayes Theorem through real examples!
What if you could quickly and easily learn Bayesian data analysis without complex textbooks and statistics classes?
Imagine being able to apply your newly learned theory to real life situations!
In this audiobook, you will get:
- A basic introduction to Bayes Theorem (with examples) - the initial introduction demonstrates how Bayesian data analysis works when you have a single new piece of data to update initial probabilities.
- Adding new data and updating probabilities - takes the above example and looks at what happens if we have multiple pieces of data instead of a single piece.
- Bayes Theorem terminology - the formal names for the different parts of the Bayes Theorem equation, and how it all comes together for an easier overall understanding.
- How to deal with data errors - in a real life situation, it is unlikely that your data will be error-free. This section shows you how to deal with those errors and still get accurate probability estimates.
- Arthur's personal email address for unlimited customer support if you have any questions.
- And much, much more....
If you are a person that learns by example, then this audiobook is perfect for you! It is a very important topic in a wide range of industries - so dive in to get a deep understanding!
©2018 Arthur Taff (P)2018 Arthur TaffLos oyentes también disfrutaron...
-
Everything Is Predictable
- How Bayesian Statistics Explain Our World
- De: Tom Chivers
- Narrado por: Tom Chivers
- Duración: 8 h y 7 m
- Versión completa
-
General4.5 out of 5 stars 47
-
Narración:4.5 out of 5 stars 43
-
Historia4.5 out of 5 stars 43
At its simplest, Bayes’s theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event. But in Everything Is Predictable, Tom Chivers lays out how it affects every aspect of our lives. He explains why highly accurate screening tests can lead to false positives and how a failure to account for it in court has put innocent people in jail. A cornerstone of rational thought, many argue that Bayes’s theorem is a description of almost everything. But who was the man who lent his name to this theorem?
-
1 out of 5 stars
-
I was looking forward to this. What a disappointment.
- De Alessandro Fadini en 06-28-24
De: Tom Chivers
-
The Signal and the Noise
- Why So Many Predictions Fail - but Some Don't
- De: Nate Silver
- Narrado por: Mike Chamberlain
- Duración: 16 h y 21 m
- Versión completa
-
General4.5 out of 5 stars 5,074
-
Narración:4.5 out of 5 stars 4,274
-
Historia4.5 out of 5 stars 4,258
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 30. 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, investigating how we can distinguish a true signal from a universe of noisy data.
-
4 out of 5 stars
-
Learn About Statistics Without All The Math
- De Scott Fabel en 03-09-13
De: Nate Silver
-
Number Theory: A Very Short Introduction
- Very Short Introductions
- De: Robin Wilson
- Narrado por: Al Kessel
- Duración: 7 h y 16 m
- Versión completa
-
General2.5 out of 5 stars 2
-
Narración:3 out of 5 stars 2
-
Historia2.5 out of 5 stars 2
Number theory is the branch of mathematics that is primarily concerned with the counting numbers. Of particular importance are the prime numbers, the "building blocks" of our number system. The subject is an old one, dating back over two millennia to the ancient Greeks, and for many years has been studied for its intrinsic beauty and elegance, not least because several of its challenges are so easy to state that everyone can understand them, and yet no one has ever been able to resolve them. But number theory has also recently become of great practical importance.
De: Robin Wilson
-
Causal Inference
- MIT Press Essential Knowledge Series
- De: Paul r. Rosenbaum
- Narrado por: Chris Monteiro
- Duración: 4 h y 25 m
- Versión completa
-
General4 out of 5 stars 3
-
Narración:3.5 out of 5 stars 3
-
Historia3.5 out of 5 stars 3
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.
-
3 out of 5 stars
-
Not appropriate for audible and the reader don’t know how to read math
- De Anonymous User en 08-01-24
-
Dark Data
- Why What You Don't Know Matters
- De: David J. Hand
- Narrado por: David J. Hand
- Duración: 9 h y 45 m
- Versión completa
-
General4.5 out of 5 stars 24
-
Narración:4.5 out of 5 stars 20
-
Historia4.5 out of 5 stars 20
Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them.
-
5 out of 5 stars
-
Necessary information and very well- presented
- De JoeV en 06-06-23
De: David J. Hand
-
Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets
- Incerto, Book 1
- De: Nassim Nicholas Taleb
- Narrado por: Joe Ochman
- Duración: 8 h y 57 m
- Versión completa
-
General4.5 out of 5 stars 401
-
Narración:4.5 out of 5 stars 342
-
Historia4.5 out of 5 stars 340
Fooled by Randomness is the word-of-mouth sensation that will change the way you think about business and the world. Nassim Nicholas Taleb - veteran trader, renowned risk expert, polymathic scholar, erudite raconteur has penned a modern classic that turns on its head what we believe about luck and skill. Set against the backdrop of the most conspicuous forum in which luck is mistaken for skill - the world of trading - Fooled by Randomness provides captivating insight into one of the least understood factors in all our lives.
-
5 out of 5 stars
-
Not for MBAs and Economist
- De Ekele Onuh Oscar en 06-19-19
-
Everything Is Predictable
- How Bayesian Statistics Explain Our World
- De: Tom Chivers
- Narrado por: Tom Chivers
- Duración: 8 h y 7 m
- Versión completa
-
General4.5 out of 5 stars 47
-
Narración:4.5 out of 5 stars 43
-
Historia4.5 out of 5 stars 43
At its simplest, Bayes’s theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event. But in Everything Is Predictable, Tom Chivers lays out how it affects every aspect of our lives. He explains why highly accurate screening tests can lead to false positives and how a failure to account for it in court has put innocent people in jail. A cornerstone of rational thought, many argue that Bayes’s theorem is a description of almost everything. But who was the man who lent his name to this theorem?
-
1 out of 5 stars
-
I was looking forward to this. What a disappointment.
- De Alessandro Fadini en 06-28-24
De: Tom Chivers
-
The Signal and the Noise
- Why So Many Predictions Fail - but Some Don't
- De: Nate Silver
- Narrado por: Mike Chamberlain
- Duración: 16 h y 21 m
- Versión completa
-
General4.5 out of 5 stars 5,074
-
Narración:4.5 out of 5 stars 4,274
-
Historia4.5 out of 5 stars 4,258
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 30. 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, investigating how we can distinguish a true signal from a universe of noisy data.
-
4 out of 5 stars
-
Learn About Statistics Without All The Math
- De Scott Fabel en 03-09-13
De: Nate Silver
-
Number Theory: A Very Short Introduction
- Very Short Introductions
- De: Robin Wilson
- Narrado por: Al Kessel
- Duración: 7 h y 16 m
- Versión completa
-
General2.5 out of 5 stars 2
-
Narración:3 out of 5 stars 2
-
Historia2.5 out of 5 stars 2
Number theory is the branch of mathematics that is primarily concerned with the counting numbers. Of particular importance are the prime numbers, the "building blocks" of our number system. The subject is an old one, dating back over two millennia to the ancient Greeks, and for many years has been studied for its intrinsic beauty and elegance, not least because several of its challenges are so easy to state that everyone can understand them, and yet no one has ever been able to resolve them. But number theory has also recently become of great practical importance.
De: Robin Wilson
-
Causal Inference
- MIT Press Essential Knowledge Series
- De: Paul r. Rosenbaum
- Narrado por: Chris Monteiro
- Duración: 4 h y 25 m
- Versión completa
-
General4 out of 5 stars 3
-
Narración:3.5 out of 5 stars 3
-
Historia3.5 out of 5 stars 3
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.
-
3 out of 5 stars
-
Not appropriate for audible and the reader don’t know how to read math
- De Anonymous User en 08-01-24
-
Dark Data
- Why What You Don't Know Matters
- De: David J. Hand
- Narrado por: David J. Hand
- Duración: 9 h y 45 m
- Versión completa
-
General4.5 out of 5 stars 24
-
Narración:4.5 out of 5 stars 20
-
Historia4.5 out of 5 stars 20
Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them.
-
5 out of 5 stars
-
Necessary information and very well- presented
- De JoeV en 06-06-23
De: David J. Hand
-
Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets
- Incerto, Book 1
- De: Nassim Nicholas Taleb
- Narrado por: Joe Ochman
- Duración: 8 h y 57 m
- Versión completa
-
General4.5 out of 5 stars 401
-
Narración:4.5 out of 5 stars 342
-
Historia4.5 out of 5 stars 340
Fooled by Randomness is the word-of-mouth sensation that will change the way you think about business and the world. Nassim Nicholas Taleb - veteran trader, renowned risk expert, polymathic scholar, erudite raconteur has penned a modern classic that turns on its head what we believe about luck and skill. Set against the backdrop of the most conspicuous forum in which luck is mistaken for skill - the world of trading - Fooled by Randomness provides captivating insight into one of the least understood factors in all our lives.
-
5 out of 5 stars
-
Not for MBAs and Economist
- De Ekele Onuh Oscar en 06-19-19
-
Predictably Irrational
- The Hidden Forces That Shape Our Decisions
- De: Dan Ariely
- Narrado por: Simon Jones
- Duración: 7 h y 22 m
- Versión completa
-
General4.5 out of 5 stars 12,598
-
Narración:4.5 out of 5 stars 8,872
-
Historia4.5 out of 5 stars 8,843
In a series of illuminating, often surprising experiments, MIT behavioral economist Dan Ariely refutes the common assumption that we behave in fundamentally rational ways. Blending everyday experience with groundbreaking research, Ariely explains how expectations, emotions, social norms, and other invisible, seemingly illogical forces skew our reasoning abilities.
-
3 out of 5 stars
-
Good lessons, mediocre science?
- De William Stanger en 02-24-09
De: Dan Ariely
-
The Book of Why
- The New Science of Cause and Effect
- De: Judea Pearl, Dana Mackenzie
- Narrado por: Mel Foster
- Duración: 15 h y 14 m
- Versión completa
-
General4.5 out of 5 stars 838
-
Narración:4.5 out of 5 stars 692
-
Historia4.5 out of 5 stars 690
"Correlation does not imply causation". This mantra has been invoked by scientists for decades and has led to a virtual prohibition on causal talk. But today, that taboo is dead. The causal revolution, sparked by Judea Pearl and his colleagues, has cut through a century of confusion and placed causality - the study of cause and effect - on a firm scientific basis.
-
5 out of 5 stars
-
Great book! Not a great audiobook.
- De rrwright en 05-30-18
De: Judea Pearl, y otros
-
How Music and Mathematics Relate
- De: David Kung, The Great Courses
- Narrado por: David Kung
- Duración: 9 h y 22 m
- Grabación Original
-
General4.5 out of 5 stars 125
-
Narración:4.5 out of 5 stars 99
-
Historia4.5 out of 5 stars 97
Great minds have long sought to understand the relationship between music and mathematics. Both involve patterns, structures, and relationships. Both generate ideas of great beauty and elegance. Music is a fertile testing ground for mathematical principles, while mathematics explains the sounds instruments make and how composers put those sounds together. Understanding the connections between music and mathematics helps you appreciate both, even if you have no special ability in either field....
-
1 out of 5 stars
-
No visuals provided! Very hard to follow without.
- De Anonymous User en 03-23-20
De: David Kung, y otros
-
Bernoulli's Fallacy
- Statistical Illogic and the Crisis of Modern Science
- De: Aubrey Clayton
- Narrado por: Tim H. Dixon
- Duración: 15 h y 14 m
- Versión completa
-
General4.5 out of 5 stars 132
-
Narración:4.5 out of 5 stars 117
-
Historia4.5 out of 5 stars 117
Aubrey Clayton traces the history of how statistics went astray, beginning with the groundbreaking work of the 17th-century mathematician Jacob Bernoulli and winding through gambling, astronomy, and genetics. Clayton recounts the feuds among rival schools of statistics, exploring the surprisingly human problems that gave rise to the discipline and the all-too-human shortcomings that derailed it.
-
4 out of 5 stars
-
Rigorously Bayesian
- De Anonymous User en 01-25-22
De: Aubrey Clayton
-
The Theory That Would Not Die
- How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy
- De: Sharon Bertsch McGrayne
- Narrado por: Laural Merlington
- Duración: 11 h y 51 m
- Versión completa
-
General4.5 out of 5 stars 488
-
Narración:4 out of 5 stars 410
-
Historia4.5 out of 5 stars 410
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.
-
4 out of 5 stars
-
Who is the intended audience?
- De Billy en 07-21-14
-
Proving History
- Bayes's Theorem and the Quest for the Historical Jesus
- De: Richard Carrier
- Narrado por: Richard Carrier
- Duración: 13 h y 4 m
- Versión completa
-
General4 out of 5 stars 172
-
Narración:4.5 out of 5 stars 150
-
Historia4 out of 5 stars 147
This in-depth discussion of New Testament scholarship and the challenges of history as a whole proposes Bayes's Theorem, which deals with probabilities under conditions of uncertainty, as a solution to the problem of establishing reliable historical criteria. The author demonstrates that valid historical methods - not only in the study of Christian origins but in any historical study - can be described by, and reduced to, the logic of Bayes's Theorem. Conversely, he argues that any method that cannot be reduced to this theorem is invalid and should be abandoned.
-
4 out of 5 stars
-
Good Book, Difficult Format
- De Erin Branscome en 08-21-15
De: Richard Carrier
Lo que los oyentes dicen sobre Bayes Theorem: The Ultimate Beginner's Guide to Bayes Theorem
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
-
Total3 out of 5 stars
-
Ejecución1 out of 5 stars
-
Historia4 out of 5 stars
- Daniel Marjenburgh
- 10-12-18
Terrible narration
The book is decent, but I didn't like the narration. Laplace pronounced as 'Leh plehs', misreadings such as 'Bayesian interference' instead of 'inference'.
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña
esto le resultó útil a 3 personas
-
Total1 out of 5 stars
-
Ejecución1 out of 5 stars
-
Historia1 out of 5 stars
- Anonymous User
- 09-06-21
Don't waste your money and time
Bayes' Theorem can be explained in a relatively simple way and illustrated with simple examples for beginners. Unfortunately, the author of this book does not do so. The exposition is extremely disorganized and confusing. In addition, the writing is extremely sloppy and often ungrammatical. The manner of narration of the book is also terrible making it difficult when new sections and new paragraphs start.
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña
-
Total1 out of 5 stars
-
Ejecución1 out of 5 stars
-
Historia1 out of 5 stars
- Bobbo
- 01-14-24
Horrible as an audiobook
Waste of a credit. Terrible presentation for audiobook absorption. Monotone narrator of technical language. I wish I could get a refund.
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña
-
Total1 out of 5 stars
-
Ejecución1 out of 5 stars
-
Historia1 out of 5 stars
- dbp
- 08-30-20
Not what the title promises
I couldn’t be sure how much of the inaccessibility and opaqueness of this presentation was in the narration and how much in the text itself, but most likely it is both. The writing seems unedited and vague. I was hoping for examples of applying the formula in the specific solution of real world situations, but mostly heard that one could do so. The errors in grammar, sentence structure, and word usage were distracting. However it does provide the formula and define the terms. That part only takes a few minutes, but if that is your goal, you will find that here.
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña