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Author: Ada Madison
Publisher: Penguin
ISBN: 110156086X
Category : Fiction
Languages : en
Pages : 286
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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
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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:
ISBN: 9781322812489
Category :
Languages : en
Pages :
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Book Description
Author: Camille Minichino
Publisher: Crossroad Press
ISBN:
Category : Fiction
Languages : en
Pages : 317
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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
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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: Hans Reichenbach
Publisher: Univ of California Press
ISBN:
Category :
Languages : en
Pages : 516
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Book Description
Author: William Hooper
Publisher: CRC Press
ISBN: 1351979248
Category : Business & Economics
Languages : en
Pages : 186
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Book Description
What happens when the sport of Juggling meets a Statistical Process Control class? This book shows a creative approach to teaching data analysis for continuous improvement. Using step by step instructions, including over 65 photos and 40 graphs, traditional continuous improvement topics (design of experiments, reliability functions, and probability) are demonstrated using card illusions and hands-on activities. This book is for anyone that teaches these topics and wants to make them more understandable and sometimes even fun. Every operator, technician, student, manager, and leader can learn data analysis and be inspired to join the next generation of continuous improvement professionals.
Author: Leighton Vaughan Williams
Publisher: CRC Press
ISBN: 1000458946
Category : Mathematics
Languages : en
Pages : 180
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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: 110765856X
Category : Mathematics
Languages : en
Pages : 573
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Book Description
Using everyday examples to demystify probability, this classic is now in its third edition with new chapters, exercises and examples.
Author: Henk Tijms
Publisher: Cambridge University Press
ISBN: 110831113X
Category : Mathematics
Languages : en
Pages : 547
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Book Description
Probability has applications in many areas of modern science, not to mention in our daily life. Its importance as a mathematical discipline cannot be overrated, and it is a fascinating and surprising topic in its own right. This engaging textbook with its easy-to-follow writing style provides a comprehensive yet concise introduction to the subject. It covers all of the standard material for undergraduate and first-year-graduate-level courses as well as many topics that are usually not found in standard texts, such as Bayesian inference, Markov chain Monte Carlo simulation, and Chernoff bounds.
Author: Joseph K. Blitzstein
Publisher: CRC Press
ISBN: 0429766742
Category : Mathematics
Languages : en
Pages : 620
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Book Description
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment. The second edition adds many new examples, exercises, and explanations, to deepen understanding of the ideas, clarify subtle concepts, and respond to feedback from many students and readers. New supplementary online resources have been developed, including animations and interactive visualizations, and the book has been updated to dovetail with these resources. Supplementary material is available on Joseph Blitzstein’s website www. stat110.net. The supplements include: Solutions to selected exercises Additional practice problems Handouts including review material and sample exams Animations and interactive visualizations created in connection with the edX online version of Stat 110. Links to lecture videos available on ITunes U and YouTube There is also a complete instructor's solutions manual available to instructors who require the book for a course.
