The Probability of Murder

The Probability of Murder
Author :
Publisher : Penguin
Total Pages : 286
Release :
ISBN-10 : 9781101560860
ISBN-13 : 110156086X
Rating : 4/5 (86X Downloads)

Book Synopsis The Probability of Murder by : Ada Madison

Download or read book The Probability of Murder written by Ada Madison and published by Penguin. This book was released on 2012-03-06 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr. Sophie Knowles is a professor with a way of making even the most complex math problems fun for her students. But when the school's beloved librarian is found shot to death in the stacks, Sophie learns that her friend was more complex than she ever knew. Now, Sophie must take on some rigorous deduction homework before the chances for another murder on campus increase exponentially...


The Probability of Murder Related Books

The Probability of Murder
Language: en
Pages: 286
Authors: Ada Madison
Categories: Fiction
Type: BOOK - Published: 2012-03-06 - Publisher: Penguin

GET EBOOK

Dr. Sophie Knowles is a professor with a way of making even the most complex math problems fun for her students. But when the school's beloved librarian is foun
Probability of Murder
Language: en
Pages:
Authors: Ada Madison
Categories:
Type: BOOK - Published: 2012 - Publisher:

GET EBOOK

The Probability of Murder
Language: en
Pages: 317
Authors: Camille Minichino
Categories: Fiction
Type: BOOK - Published: 2019-09-07 - Publisher: Crossroad Press

GET EBOOK

Math Professor Sophie Knowles finds herself in the middle of an investigation after her friend, Henley College librarian, Charlotte Crocker, is found dead in th
The Theory of Probability
Language: en
Pages: 516
Authors: Hans Reichenbach
Categories:
Type: BOOK - Published: 1971 - Publisher: Univ of California Press

GET EBOOK

Model-Based Machine Learning
Language: en
Pages: 469
Authors: John Winn
Categories: Business & Economics
Type: BOOK - Published: 2023-11-30 - Publisher: CRC Press

GET EBOOK

Today, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learni