Products related to Probabilities:
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Philosophical Devices : Proofs, Probabilities, Possibilities, and Sets
This book is designed to explain the technical ideas that are taken for granted in much contemporary philosophical writing.Notions like 'denumerability', 'modal scope distinction', 'Bayesian conditionalization', and 'logical completeness' are usually only elucidated deep within difficult specialist texts.By offering simple explanations that by-pass much irrelevant and boring detail, Philosophical Devices is able to cover a wealth of material that is normally only available to specialists.The book contains four sections, each of three chapters.The first section is about sets and numbers, starting with the membership relation and ending with the generalized continuum hypothesis.The second is about analyticity, a prioricity, and necessity.The third is about probability, outlining the difference between objective and subjective probability and exploring aspects of conditionalization and correlation.The fourth deals with metalogic, focusing on the contrast between syntax and semantics, and finishing with a sketch of Gödel's theorem.Philosophical Devices will be useful for university students who have got past the foothills of philosophy and are starting to read more widely, but it does not assume any prior expertise.All the issues discussed are intrinsically interesting, and often downright fascinating.It can be read with pleasure and profit by anybody who is curious about the technical infrastructure of contemporary philosophy.
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The Architecture of Computer Hardware, Systems Software, and Networking : An Information Technology Approach
The Architecture of Computer Hardware, Systems Software and Networking is designed help students majoring in information technology (IT) and information systems (IS) understand the structure and operation of computers and computer-based devices.Requiring only basic computer skills, this accessible textbook introduces the basic principles of system architecture and explores current technological practices and trends using clear, easy-to-understand language.Throughout the text, numerous relatable examples, subject-specific illustrations, and in-depth case studies reinforce key learning points and show students how important concepts are applied in the real world. This fully-updated sixth edition features a wealth of new and revised content that reflects today’s technological landscape. Organized into five parts, the book first explains the role of the computer in information systems and provides an overview of its components.Subsequent sections discuss the representation of data in the computer, hardware architecture and operational concepts, the basics of computer networking, system software and operating systems, and various interconnected systems and components.Students are introduced to the material using ideas already familiar to them, allowing them to gradually build upon what they have learned without being overwhelmed and develop a deeper knowledge of computer architecture.
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Practical Poker Math: Basic Odds and Probabilities for Hold 'Em and Omaha
Practical Poker Math: Basic Odds and Probabilities for Hold 'Em and Omaha
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Strategy Beyond the Hockey Stick : People, Probabilities, and Big Moves to Beat the Odds
Beat the odds with a bold strategy from McKinsey & Company "Every once in a while, a genuinely fresh approach to business strategy appears"—legendary business professor Richard Rumelt, UCLA McKinsey & Company's newest, most definitive, and most irreverent book on strategy—which thousands of executives are already using—is a must-read for all C-suite executives looking to create winning corporate strategies. Strategy Beyond the Hockey Stick is spearheading an empirical revolution in the field of strategy.Based on an extensive analysis of the key factors that drove the long-term performance of thousands of global companies, the book offers a ground-breaking formula that enables you to objectively assess your strategy's real odds of future success. "This book is fundamental. The principles laid out here, with compelling data, are a great way around the social pitfalls in strategy development."—Frans Van Houten, CEO, Royal Philips N.V. The authors have discovered that over a 10-year period, just 1 in 12 companies manage to jump from the middle tier of corporate performance—where 60% of companies reside, making very little economic profit—to the top quintile where 90% of global economic profit is made.This movement does not happen by magic—it depends on your company's current position, the trends it faces, and the big moves you make to give it the strongest chance of vaulting over the competition. This is not another strategy framework. Rather, Strategy Beyond the Hockey Stick shows, through empirical analysis and the experiences of dozens of companies that have successfully made multiple big moves, that to dramatically improve performance, you have to overcome incrementalism and corporate inertia. "A different kind of book—I couldn't put it down.Inspiring new insights on the facts of what it takes to move a company's performance, combined with practical advice on how to deal with real-life dynamics in management teams."—Jane Fraser, CEO, Citigroup Latin America
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How do you calculate probabilities with two probabilities?
To calculate the probability of two independent events occurring, you can use the formula P(A and B) = P(A) * P(B), where P(A) and P(B) are the probabilities of each event occurring. If the events are not independent, you can use the formula P(A and B) = P(A) * P(B|A), where P(B|A) is the probability of event B occurring given that event A has already occurred. If you want to calculate the probability of either event A or event B occurring, you can use the formula P(A or B) = P(A) + P(B) - P(A and B) to account for the overlap between the two events.
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What are probabilities?
Probabilities are numerical measures that quantify the likelihood of a specific event occurring. They range from 0 (indicating impossibility) to 1 (indicating certainty). Probabilities help us make informed decisions by providing a way to assess the likelihood of different outcomes. They are used in various fields such as mathematics, statistics, and science to analyze uncertainty and randomness.
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What are birthday probabilities?
Birthday probabilities refer to the likelihood of two or more people sharing the same birthday in a group. This concept is often used in probability and statistics to demonstrate the counterintuitive nature of probability. The birthday paradox, for example, shows that in a group of just 23 people, there is a greater than 50% chance that two people will share the same birthday. This is due to the large number of possible pairings and the relatively small number of days in a year.
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Can someone help me with IT security, stochastic, hackers, passwords, and probabilities?
Yes, there are many professionals and experts in the field of IT security who can help with understanding stochastic processes, protecting against hackers, creating strong passwords, and assessing probabilities of security breaches. It's important to seek out individuals or organizations with a strong track record in IT security and a deep understanding of these concepts. They can provide guidance, support, and solutions to help mitigate security risks and protect sensitive information. Additionally, there are many resources available online and in books that can provide valuable information on these topics.
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The Mathematical Theory of Bridge : 134 Probability Tables, Their Uses, Simple Formulas, Applications and about 4000 Probabilities
134 Probability tables, their uses, simple formulas, applications & 4000 probabilitiesOriginally published in 1940, and revised in 1954, this classic work on mathematics and probability as applied to Bridge first appeared in English translation in 1974, but has been unavailable for many years. This new edition corrects numerical errors found in earlier texts; it revises the previous English translation where needed and corrects a number of textual and typographical errors in the 1974 edition. Tables have been included again in the text, as they were in the original edition.The chapter on Contract and Plafond scoring has been retained as continuing to serve its intended purpose. The chapters on shuffling, although no longer applicable to Duplicate Bridge, are included for the benefit of those interested in the mathematics of all card games. All, it is hoped, without too many new errors being introduced.
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Software Supply Chain Security : Securing the End-to-End Supply Chain for Software, Firmware, and Hardware
Trillions of lines of code help us in our lives, companies, and organizations.But just a single software cybersecurity vulnerability can stop entire companies from doing business and cause billions of dollars in revenue loss and business recovery.Securing the creation and deployment of software, also known as software supply chain security, goes well beyond the software development process. This practical book gives you a comprehensive look at security risks and identifies the practical controls you need to incorporate into your end-to-end software supply chain.Author Cassie Crossley demonstrates how and why everyone involved in the supply chain needs to participate if your organization is to improve the security posture of its software, firmware, and hardware. With this book, you'll learn how to:Pinpoint the cybersecurity risks in each part of your organization's software supply chainFind the cybersecurity frameworks and resources that can improve securityIdentify the roles that participate in the supply chain-including IT, development, operations, manufacturing, and procurementDesign initiatives and controls for each part of the supply chain using existing frameworks and referencesEvaluate third-party risk in your supply chain
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Human-Machine Communication : Rethinking Communication, Technology, and Ourselves
From virtual assistants to social robots, people are increasingly interacting with intelligent and highly communicative technologies throughout their daily lives.This shift from communicating with people to communicating with people and machines challenges how scholars have theorized and studied communication.Human-Machine Communication: Rethinking Communication, Technology, and Ourselves addresses this transition in how people communicate and who, or what, they communicate with and the implications of this evolution for communication research.Geared toward scholars interested in people’s interactions with technology, this book serves as an introduction to human-machine communication (HMC) as a specific area of study within communication (encompassing human-computer interaction, human-robot interaction, and human-agent interaction) and to the research possibilities of HMC.This collection includes papers presented as part of a scholarly conference on HMC, along with invited works from noted researchers.Topics include defining HMC, theoretical approaches to HMC, applications of HMC, and the larger implications of HMC for self and society.The research presented here focuses on people’s interactions with multiple technologies (artificial intelligence, algorithms, and robots) used within different contexts (home, workplace, education, journalism, and healthcare) from a variety of epistemological and methodological approaches (empirical, rhetorical, and critical/cultural).Overall, Human-Machine Communication provides readers with an understanding of HMC in a way that supports and promotes further scholarly inquiry in a growing area of communication research.
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What are probabilities in mathematics?
Probabilities in mathematics represent the likelihood of a specific event occurring. They are typically expressed as a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty. Probabilities can be calculated using various methods such as counting outcomes, using formulas like the probability mass function or probability density function, or through simulations. Understanding probabilities is essential in fields such as statistics, finance, and science to make informed decisions based on the likelihood of different outcomes.
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How can probabilities be simulated?
Probabilities can be simulated using random number generators. By generating a large number of random samples, we can approximate the probability of a certain event occurring. For example, if we want to simulate the probability of rolling a 6 on a fair six-sided die, we can generate a large number of random rolls and then calculate the proportion of times a 6 is rolled. This proportion will give us an estimate of the probability of rolling a 6. Additionally, simulations can be used to model more complex events and scenarios, such as the outcomes of sports games or the likelihood of certain weather patterns.
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How can probabilities be determined?
Probabilities can be determined by analyzing the likelihood of different outcomes occurring based on available information and data. This can involve using mathematical formulas, statistical analysis, and historical data to calculate the probability of a specific event happening. Probabilities can also be determined through experimentation and observation, where repeated trials can help estimate the likelihood of an event occurring. Additionally, probabilities can be influenced by factors such as randomness, uncertainty, and the presence of variables that may affect the outcome.
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What are probabilities in math?
Probabilities in math represent the likelihood of a specific event occurring. They are typically expressed as a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty. Probabilities can be calculated using various methods, such as counting outcomes, using formulas like the probability mass function or probability density function, or through simulations. Understanding probabilities is essential in various fields, including statistics, finance, and science, as they help in making informed decisions and predictions based on uncertain outcomes.
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