Other books that might interest you

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  The Theory That Would Not Die -...

  Sharon Bertsch McGrayne

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  "This account of how a once reviled theory, Baye’s rule, came to underpin modern life is both approachable and engrossing" (Sunday Times).  A New York Times Book Review Editors’ Choice 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. In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the generations-long human drama surrounding it.   McGrayne traces the rule’s discovery by an 18th century amateur mathematician through its development by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years—while practitioners relied on it to solve crises involving great uncertainty and scanty information, such as Alan Turing's work breaking Germany's Enigma code during World War II.   McGrayne also explains how the advent of computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA de-coding to Homeland Security. Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time.

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  Algorithm

  Introbooks Team

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  A scrutiny of how algorithm has been widely used in order to perform any task has been done here. The step-by-step solution to any problem is an algorithm.  
  The set of rules and steps which should be followed so that the task is performed smoothly, is called an algorithm. It is the guidelines presented/ listed in a systematic way which is required while performing the task. 
  The era of modernization where computer holds almost all the importance is also based on an algorithm. There are multiple problem-solving operations which require certain guidelines so that the goals are achieved. The languages of the computer which builds a relation between machine and humans work on these algorithms. No wonder the world knows what to do and how but the computer needs guidelines! 
  The instructions provided by the user makes it possible for the computer to work out the problem-solving statement. There have to be some standards of the algorithm that the device should understand. The algorithm is not only used in computers but it also holds great utilization in cooking and mathematics. 
  The algorithm can be in various ways but as for coding there are has to be certain specific coded terms. The algorithm should be simple so that it is easy to understand and can be followed. There are various areas where algorithms are used in mathematics. The big problems which need expert solutions need proper methodology. This method is provided by algorithms. It is not necessary that the algorithms should be short. It varies from problem to problem. The mathematics subject has always been a tough one. Many difficult problems need proper step-by-step explanation. The different answers to various problems can be efficiently explained by algorithms provided. The simpler specifications help to solve bigger problems as well. The algorithm contains the constrained set of instructions in understandable language. The more procedure-oriented problems appear more need of algorithm is required. The algorithm used in computers is different based on the type of problem. The algorithm can be of several types in computers, such as string operator type, recursive backtracking and divide and operator. Randomized operator algorithms are also of great use. There are various properties of algorithms such as they should be input and output specified. They should be definite and effective. The finiteness of algorithm should be maintained by the means of input and output specified. It means that the input should be given to the processor and then output should be received. The moment when a computer receives the input, the command is achieved and it starts its working to produce the output. The relation between the input and output should be maintained. The algorithm should be specific and if these properties are hindered, the system is malfunctioned. The command and coding require a brief introduction. The algorithm provided is that brief instruction which acts as the helping hand for the coder. 
  Not only in computers, but even in mathematics, the formula provided is kind of a helping hand for any problem. The algebraic problems are in need of some pre-instructions which ensure the absolute results.

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  Cull of the Wild - Killing in...

  Hugh Warwick

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  Across the world, invasive species pose a danger to ecosystems. The UN Convention on Biological Diversity ranks them as a major threat to biodiversity on par with habitat loss, climate change, and pollution. Tackling this isn't easy, and no one knows this better than Hugh Warwick, a conservationist who loathes the idea of killing, harming, or even eating animals. Yet as an ecologist, he is acutely aware of the need, at times, to kill invasive species whose presence harms the wider environment. 
   
   
   
  Hugh explores the complex history of species control, revealing the global movement of species and the impacts of their presence. Combining scientific theory with gentle humor in his signature style, he explains the issues conservationists face to control non-native animals and protect native species—including grey and red squirrels on Anglesey, ravens and tortoises in the Mojave Desert, cane toads in Australia, and the smooth-billed ani on the Galapagos—and describes cases like Pablo Escobar's cocaine hippos and the Burmese python pet trade. 
   
   
   
  Taking a balanced and open approach to this emotive subject, Hugh speaks to experts on all sides of the debate. How do we protect endangered native species? Which species do we prioritize? And how do we reckon with the ethics of killing anything in the name of conservation?

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  Behavioral AI - Unleash Decision...

  Rogayeh Tabrizi

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  In Behavioral AI: Unleash Decision Making with Data, behavioral economist Dr. Rogayeh Tabrizi delivers an intuitive roadmap to help organizations disentangle the complexity of their data to create tangible and lasting value. The book explains how to balance the multiple disciplines that power AI and behavioral economics using a combination of the right questions and insightful problem solving. 
   
   
   
  You'll learn why intellectual diversity and combining subject matter experts in psychology, behavior, economics, physics, computer science, and engineering is essential to creating advanced AI solutions. You'll also discover how behavioral economics principles influence data models and governance architectures and make digital transformation processes more efficient and effective; discussions of the most important barriers to value in typical big data and AI projects and how to bring them down; and the most effective methodology to help shorten the long, wasteful process of "boiling the ocean of data." 
   
   
   
  An exciting and essential resource for managers, executives, board members, and other business leaders engaged or interested in harnessing the power of artificial intelligence and big data, Behavioral AI will also benefit data and machine learning professionals.

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  Mapping the Heavens - The...

  Priyamvada Natarajan

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  Mapping the Heavens provides a tour of the “greatest hits” of cosmological discoveries—the ideas that reshaped our universe over the past century. The cosmos, once understood as a stagnant place filled with the ordinary, is now a universe that is expanding at an accelerating pace, propelled by dark energy and structured by dark matter. Priyamvada Natarajan, our guide to these ideas, is at the forefront of the research—an astrophysicist who literally creates maps of invisible matter in the universe. She not only explains for a wide audience the science behind these essential ideas but also provides an understanding of how radical scientific theories gain acceptance. 
  The formation and growth of black holes, dark matter halos, the accelerating expansion of the universe, the echo of the big bang, the discovery of exoplanets, and the possibility of other universes—these are some of the puzzling cosmological topics of the early twenty-first century. Natarajan discusses why the acceptance of new ideas about the universe and our place in it has never been linear and always contested even within the scientific community. And she affirms that, shifting and incomplete as science always must be, it offers the best path we have toward making sense of our wondrous, mysterious universe.

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  Mastering Spring Reactive...

  Shubham Srivastava

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  Master Reactive Programming: Build Solutions with Reactive Spring
  Book Description
  Mastering Spring Reactive Programming for High Performance Web Apps is a comprehensive guide designed for developers looking to master reactive programming with Spring WebFlux and Reactor. Whether you're a beginner seeking to understand the fundamentals or an experienced developer aiming to enhance your asynchronous programming skills, this book delivers a clear, step-by-step approach to take you from basic concepts to advanced real-world applications. 
  Focused on practical, real-world implementations, the book teaches you how to build, optimize, and maintain efficient reactive systems. It guides you through creating scalable, event-driven applications, handling complex asynchronous tasks, and managing distributed systems using WebFlux libraries and the Reactor framework. By addressing real-world challenges, this book equips readers to improve system performance and resource management, ensuring applications are built for high scalability and resilience. 
  Table of Contents
  
  1. Introduction to Spring Framework
  2. Fundamentals of Reactor Framework
  3. Reactive Streams and Implementations
  4. Asynchronous Programming Using Spring WebFlux
  5. Developing Reactive Web Applications Using WebClient
  6. Reactive Repositories
  7. Messaging Using Reactive Streams
  8. Spring Cloud and Reactive Framework
  9. Testing and Debugging
  10. Release and Monitoring
  11. Hands-On Exercises
  12. Interview Questions
  Index

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