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Author: Ada Madison Publisher: Penguin ISBN: 110156086X Category : Fiction Languages : en Pages : 286
Book Description
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...
Author: Ada Madison Publisher: Penguin ISBN: 110156086X Category : Fiction Languages : en Pages : 286
Book Description
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...
Author: Camille Minichino Publisher: Crossroad Press ISBN: Category : Fiction Languages : en Pages : 317
Book Description
Math Professor Sophie Knowles finds herself in the middle of an investigation after her friend, Henley College librarian, Charlotte Crocker, is found dead in the stacks. When Sophie learns that Charlotte wasn't the quiet, law-abiding citizen she seemed to be, she sets out to determine who her friend really was, and to find her killer. As she deals with a group of lottery players, winners and losers, the odds are Sophie will solve the puzzle.
Author: John Winn Publisher: CRC Press ISBN: 1498756824 Category : Business & Economics Languages : en Pages : 469
Book Description
Today, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to a concrete, real world problem. This book tackles this challenge through model-based machine learning which focuses on understanding the assumptions encoded in a machine learning system and their corresponding impact on the behaviour of the system. The key ideas of model-based machine learning are introduced through a series of case studies involving real-world applications. Case studies play a central role because it is only in the context of applications that it makes sense to discuss modelling assumptions. Each chapter introduces one case study and works through step-by-step to solve it using a model-based approach. The aim is not just to explain machine learning methods, but also showcase how to create, debug, and evolve them to solve a problem. Features: Explores the assumptions being made by machine learning systems and the effect these assumptions have when the system is applied to concrete problems. Explains machine learning concepts as they arise in real-world case studies. Shows how to diagnose, understand and address problems with machine learning systems. Full source code available, allowing models and results to be reproduced and explored. Includes optional deep-dive sections with more mathematical details on inference algorithms for the interested reader.
Author: Leighton Vaughan Williams Publisher: CRC Press ISBN: 1000458946 Category : Mathematics Languages : en Pages : 180
Book Description
Much of our thinking is flawed because it is based on faulty intuition. By using the framework and tools of probability and statistics, we can overcome this to provide solutions to many real-world problems and paradoxes. We show how to do this, and find answers that are frequently very contrary to what we might expect. Along the way, we venture into diverse realms and thought experiments which challenge the way that we see the world. Features: An insightful and engaging discussion of some of the key ideas of probabilistic and statistical thinking Many classic and novel problems, paradoxes, and puzzles An exploration of some of the big questions involving the use of choice and reason in an uncertain world The application of probability, statistics, and Bayesian methods to a wide range of subjects, including economics, finance, law, and medicine Exercises, references, and links for those wishing to cross-reference or to probe further Solutions to exercises at the end of the book This book should serve as an invaluable and fascinating resource for university, college, and high school students who wish to extend their reading, as well as for teachers and lecturers who want to liven up their courses while retaining academic rigour. It will also appeal to anyone who wishes to develop skills with numbers or has an interest in the many statistical and other paradoxes that permeate our lives. Indeed, anyone studying the sciences, social sciences, or humanities on a formal or informal basis will enjoy and benefit from this book.
Author: Henk Tijms Publisher: Cambridge University Press ISBN: 1139465457 Category : Mathematics Languages : en Pages : 407
Book Description
In this fully revised second edition of Understanding Probability, the reader can learn about the world of probability in an informal way. The author demystifies the law of large numbers, betting systems, random walks, the bootstrap, rare events, the central limit theorem, the Bayesian approach and more. This second edition has wider coverage, more explanations and examples and exercises, and a new chapter introducing Markov chains, making it a great choice for a first probability course. But its easy-going style makes it just as valuable if you want to learn about the subject on your own, and high school algebra is really all the mathematical background you need.
Author: Bernard R. Siskin Publisher: Signet Book ISBN: Category : Reference Languages : en Pages : 214
Book Description
How likely are you to murder your spouse? What are your chances of being struck by lightning? Of winning the lottery? From the unlikely to the unbelieveable, this amusing and sobering compendium of the little-known odds and ends that make this world a more-or-less risky place to live will make a big impact on trivia hunters everywhere.
Author: Ada Madison
Author: Ada Madison
Author: Ada Madison
Author: Camille Minichino
Author: John Winn
Author: Hans Reichenbach
Author: Henk Tijms
Author: Leighton Vaughan Williams
Author: Henk Tijms
Author: D. H. Mellor
Author: Bernard R. Siskin