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Do multiple versions of ourselves exist in parallel universes living out their lives in different timelines? In this follow up to his bestseller, The Simulation Hypothesis, MIT Computer Scientist and Silicon Valley Game Pioneer Rizwan Virk explores these topics from a new lens: that of simulation theory.
If we are living in a simulated universe, composed of information that is rendered around us, then many of the complexities and baffling characteristics of our reality start to make more sense. In particular the two most popular interpretations of quantum mechanics, the Copenhagen Interpretation and the Many Worlds interpretation, which are thought to be mutually exclusive, can be unified in an information based framework. Quantum computing lets us simulate complex phenomena in parallel, allowing the simulation to explore many realities at once to find the most optimum path forward. Could this explain not only the enigmatic Mandela Effect but provide us with a new understanding of time and space?
Bringing his unique trademark style of combining video games, computer science, quantum physics and computing with lots of philosophy and science fiction, Virk gives us a new way to think about not just our universe, but all possible timelines in the multiverse!
Do multiple versions of ourselves exist in parallel universes living out their lives in different timelines? In this follow up to his bestseller, The Simulation Hypothesis, MIT Computer Scientist and Silicon Valley Game Pioneer Rizwan Virk explores these topics from a new lens: that of simulation theory.
If we are living in a simulated universe, composed of information that is rendered around us, then many of the complexities and baffling characteristics of our reality start to make more sense. In particular the two most popular interpretations of quantum mechanics, the Copenhagen Interpretation and the Many Worlds interpretation, which are thought to be mutually exclusive, can be unified in an information based framework. Quantum computing lets us simulate complex phenomena in parallel, allowing the simulation to explore many realities at once to find the most optimum path forward. Could this explain not only the enigmatic Mandela Effect but provide us with a new understanding of time and space?
Bringing his unique trademark style of combining video games, computer science, quantum physics and computing with lots of philosophy and science fiction, Virk gives us a new way to think about not just our universe, but all possible timelines in the multiverse!
The design of information on the web changes the way people find, understand, and use that information-for better or for worse. Lisa Maria Marquis shows you how to leverage the principles and practices of information architecture in order to craft more thoughtful and effective digital spaces. Learn how to analyze your site's content and structure, build clear and consistent taxonomies, and develop more strategic sitemaps. Because when we're intentional about how we organize web content, we create better experiences for everyone.
Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. This third edition delves into the latest advancements in AI, particularly focusing on large language models (LLMs), with clear distinctions made between AI and traditional data science, including AI's ability to emulate human decision-making.
Author Stylianos Kampakis introduces you to the critical aspect of ethics in AI, an area of growing importance and scrutiny. The narrative examines the ethical considerations intrinsic to the development and deployment of AI technologies, including bias, fairness, transparency, and accountability. You'll be provided with the expertise and tools required to develop a solid data strategy that is continuously effective. Ethics and legal issues surrounding data collection and algorithmic bias are some common pitfalls that Kampakis helps you avoid, while guiding you on the path to build a thriving data science culture at your organization. This updated edition also includes plenty of case studies, tools for project assessment, and expanded content for hiring and managing data scientists.
Data science is a language that everyone at a modern company should understand across departments. Friction in communication arises most often when management does not connect with what a data scientist is doing or how impactful data collection and storage can be for their organization. The Decision Maker's Handbook to Data Science bridges this gap and readies you for both the present and future of your workplace in this engaging, comprehensive guide.
What You Will Learn
Who This Book Is For
Startup founders, product managers, higher level managers, and any other non-technical decision makers who are thinking to implement data science in their organization and hire data scientists. A secondary audience includes people looking for a soft introduction into the subject of data science.
Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others.
Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool.
You'll learn how to:
Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.
This book is your definitive guide to the rapidly growing role of Quantitative User Experience (Quant UX) Research in product development. The book provides an overview of the skills you need on the job, presents hands-on projects with reusable code, and shares advice on starting and developing a career. The book goes beyond basic skills to focus on what is unique to Quant UX. The authors are two of the most widely recognized practitioners in Quant UX research, and this book shares insights from their combined decades of experience.
Organizations today have more data about user needs and behaviors than ever before. With this large-scale data, Quant UX researchers work to understand usage patterns, measure the impact of design changes, and inform strategic decisions. In the Quant UX role, interdisciplinary researchers apply analytical skills to uncover user needs, inform engineering and design, answer strategic business questions, and optimize software and hardware products for human interaction. This book provides guidance around customer satisfaction surveys, understanding user behavior from log analysis, and the statistical methods that are commonly used to assess user outcomes.
The brain is the most complex computational machine known to science, even though its components (neurons) are slow and unreliable compared to a laptop computer. In this richly illustrated book, Shannon's mathematical theory of information is used to explore the metabolic efficiency of neurons, with special reference to visual perception. Evidence from a diverse range of research papers is used to show how information theory defines absolute limits on neural efficiency; limits which ultimately determine the neuroanatomical microstructure of the eye and brain. Written in an informal style, with a comprehensive glossary, tutorial appendices, explainer boxes, and a list of annotated Further Readings, this book is an ideal introduction to cutting-edge research in neural information theory.
A unified introduction to information theory for scientists
Applications of information theory span a broad range of disciplines today. This book presents a unified treatment of the subject for students and practitioners in the sciences. It teaches the tools universally used by physicists working on quantum computers and black holes, engineers designing self-driving cars, traders perfecting market strategies, chemists playing with molecules, biologists studying cells and living beings, linguists analyzing languages, and neuroscientists figuring out how the brain works. No matter what area of science you specialize in, The Physical Nature of Information unlocks the power of information theory to test the limits imposed by uncertainty.
The Perfect Book for Beginners Wanting to Learn About Hypothesis Testing & Statistical Significance
Multi-time best selling IT & mathematics author, Arthur Taff, presents a leading book for beginners to learn and understand hypothesis testing - specifically statistical significance. Statistical significance is a way of determining if an outcome occurred by random chance, or if something caused that outcome to be different than the expected baseline. Statistical significance calculations find their way into scientific and engineering tests of all kinds, from medical tests with control group and a testing group, to the analysis of how strong a newly made batch of parts is. Those same calculations are also used in investment decisions.
In this book, you will get:
If you are a person that learns by example, then this book is perfect for you It is a very important topic with use in a wide range of industries and situations - so dive in to get a deep understanding
Well, what are you waiting for? Grab your copy today by clicking the BUY NOW button at the top of this page
When evil men plot, good men must plan.
-Martin Luther King, Jr.
If anything is guaranteed about the future, it's that technological innovation will advance more quickly each year. But progress isn't just for those with good intentions. The technology that empowers you can also imperil you, making digital risk management an existential priority for your company.
Some of our most famous predecessors also faced unprecedented obstacles, and their stories are more than good folklore-they provide us with principles that transcend time and space.
In Cyber War...and Peace, Nick Shevelyov shares how lessons learned from history's most poignant moments reveal strategies to help manage risk in today's-and tomorrow's-digital landscape. Nick's insight and analysis will introduce you to concepts that will increase resiliency within your organization, no matter its size. This exploration of history, strategy, and the digital world around us will challenge you to reexamine the past, solve new problems, and embrace timeless techniques.
Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research.
The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power of physics. Subsequent chapters follow a systematic deep dive into various quantum machine learning algorithms, quantum optimization, applications of advanced QML algorithms (quantum k-means, quantum k-medians, quantum neural networks, etc.), qubit state preparation for specific QML algorithms, inference, polynomial Hamiltonian simulation, and more, finishing with advanced and up-to-date research areas such as quantum walks, QML via Tensor Networks, and QBoost.
Hands-on exercises from open source libraries regularly used today in industry and research are included, such as Qiskit, Rigetti's Forest, D-Wave's dOcean, Google's Cirq and brand new TensorFlow Quantum, and Xanadu's PennyLane, accompanied by guided implementation instructions. Wherever applicable, the book also shares various options of accessing quantum computing and machine learning ecosystems as may be relevant to specific algorithms.
The book offers a hands-on approach to the field of QML using updated libraries and algorithms in this emerging field. You will benefit from the concrete examples and understanding of tools and concepts for building intelligent systems boosted by the quantum computing ecosystem. This work leverages the author's active research in the field and is accompanied by a constantly updated website for the book which provides all of the code examples.
What You will Learn
While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the full potential of this predictive revolution? This practical guide presents a battle-tested end-to-end method to help you translate business decisions into tractable prescriptive solutions using data and AI as fundamental inputs.
Author Daniel Vaughan shows data scientists, analytics practitioners, and others interested in using AI to transform their businesses not only how to ask the right questions but also how to generate value using modern AI technologies and decision-making principles. You'll explore several use cases common to many enterprises, complete with examples you can apply when working to solve your own issues.
