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Think Bayes von [Downey, Allen B.]
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Think Bayes Kindle Edition

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Länge: 207 Seiten Sprache: Englisch

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If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer, and you’ll begin to apply these techniques to real-world problems.

Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book’s computational approach helps you get a solid start.

  • Use your existing programming skills to learn and understand Bayesian statistics
  • Work with problems involving estimation, prediction, decision analysis, evidence, and hypothesis testing
  • Get started with simple examples, using coins, M&Ms, Dungeons & Dragons dice, paintball, and hockey
  • Learn computational methods for solving real-world problems, such as interpreting SAT scores, simulating kidney tumors, and modeling the human microbiome.

Über den Autor und weitere Mitwirkende

Allen Downey is a Professor of Computer Science at the Olin College of Engineering. He has taught computer science at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master's and Bachelor's degrees from MIT.


  • Format: Kindle Edition
  • Dateigröße: 6526 KB
  • Seitenzahl der Print-Ausgabe: 214 Seiten
  • Gleichzeitige Verwendung von Geräten: Keine Einschränkung
  • Verlag: O'Reilly Media; Auflage: 1 (12. September 2013)
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ASIN: B00F5BS96Q
  • Text-to-Speech (Vorlesemodus): Aktiviert
  • X-Ray:
  • Word Wise: Nicht aktiviert
  • Verbesserter Schriftsatz: Nicht aktiviert
  • Durchschnittliche Kundenbewertung: 5.0 von 5 Sternen 1 Kundenrezension
  • Amazon Bestseller-Rang: #143.229 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)

  •  Ist der Verkauf dieses Produkts für Sie nicht akzeptabel?


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Format: Taschenbuch Verifizierter Kauf
Allen Downey has written several books and this is one I use as a reference as it explains the bayesian logic very well.
For those not familiar or not using with python, the book might be less valuable (but would still get 4 stars :)

The reader should have reasonable knowledge of math/statistics.
Kommentar 3 Personen fanden diese Informationen hilfreich. War diese Rezension für Sie hilfreich? Ja Nein Feedback senden...
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Die hilfreichsten Kundenrezensionen auf (beta) HASH(0x93bef198) von 5 Sternen 21 Rezensionen
107 von 108 Kunden fanden die folgende Rezension hilfreich
HASH(0x93868cf0) von 5 Sternen 'Stick' or 'Switch'? 5. Oktober 2013
Von Ricardo Dapaz - Veröffentlicht auf
Format: Taschenbuch
Should you buy this book given that the only other review as of this time is a negative review (based on the lack of a table of contents)? Hmm, that is exactly the sort of decision analysis that is covered by this book. Should you wait for the next train or catch a taxi instead? Or what about the classic Monty Hall problem where there is car hidden behind one of three doors in a TV game show? The contestant picks a door, but prior to opening it, the host opens another door which does not contain the car and then offers the contestant the opportunity to 'stick' to his current selection or 'switch' to the other door. Should the contestant 'stick' or 'switch'? Bayes's Theorem provides a rationale for making this decision and this book covers all of this and more.

This is a great book and a good introduction to the application of Bayes's Theorem in a number of scenarios. The theoretical aspects are well accessible and the Python code is sufficiently clear. This is not an introduction to Python and readers should be relatively familiar with Python or other high level languages to make the most out of this book.

The PDF for the book is freely available from Green Tea Press. If you are concerned about the lack of a table of contents in the mobi version, get the paper copy until this is resolved... I would highly recommend it.
20 von 20 Kunden fanden die folgende Rezension hilfreich
HASH(0x93868d44) von 5 Sternen Really Helpful Book 16. Dezember 2013
Von MT Moses - Veröffentlicht auf
Format: Taschenbuch Verifizierter Kauf
Great book to simplify the Bayes process. It goes into basic detail as a real how-to. This is not an academic text but a book to teach how to use Bayes for everyday problems.
13 von 14 Kunden fanden die folgende Rezension hilfreich
HASH(0x9386b03c) von 5 Sternen Great problems, but explanation style could be better 7. November 2014
Von Pavlo P. - Veröffentlicht auf
Format: Taschenbuch
The book has really interesting problems and solutions to them, but since solutions are given in Python code form, it is really hard to comprehend new concepts sometimes. It would be much better if the author explain it via simpler example (and sometimes he does) or via pure math and only then jump to the code part. Also this book contains amazing exercises, but unfortunately no solutions to them. The code is well written, but structured poorly - huge files (1800 lines long) are really difficult to examine and learn from.
Overall the book is super interesting, although explanation style could be better.
16 von 18 Kunden fanden die folgende Rezension hilfreich
HASH(0x9386b564) von 5 Sternen Great Introduction for this Topic 22. Oktober 2013
Von Michael Morgan - Veröffentlicht auf
Format: Taschenbuch
I used the greenteapress version to teach an intro class on Bayes before this paper version was released. It worked great (but PayPal rejected my donation). Straightforward understandable examples allowed me to keep more complicated examples in context. This in conjunction with CamDavidsonPilon's excellent community book really gave a well-rounded class.
8 von 8 Kunden fanden die folgende Rezension hilfreich
HASH(0x9386b57c) von 5 Sternen Novel approach 30. April 2014
Von Theodore D. Sternberg - Veröffentlicht auf
Format: Taschenbuch
This is a nice book with some really neat examples. What makes it unusual is that where a conventional math stats book would use math notation to help explain the ideas, this book tries to do that with Python code. It's an interesting idea; I imagine the author thought there was a market among engineers comfortable reading code but intimidated by math. So if you're such a person, this could be a really good book for you, just the thing to introduce you to an interesting area of!

On the other hand, if you do relate well to math notation, you might find the computer code a distraction.
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