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Gesamtkatalog

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Scholze P: Berkeley Lectures on P-Adic
Geometry

Berkeley Lectures on P-Adic Geometry

A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (ML). Applied Machine Learning for Data Science Practitioners offers a practical, step-by-step guide to building end-to-end ML solutions for real-world business challenges, empowering data science practitioners to make informed decisions and select the right techniques for any use case. Unlike many data science books that focus on popular algorithms and coding, this book takes a holistic approach. It equips you with the knowledge to evaluate a range of techniques and algorithms. The book balances theoretical concepts with practical examples to illustrate key concepts, derive insights, and demonstrate applications. In addition to code snippets and reviewing output, the book provides guidance on interpreting results. This book is an essential resource if you are looking to elevate your understanding of ML and your technical capabilities, combining theoretical and practical coding examples. A basic understanding of using data to solve business problems, high school-level math and statistics, and basic Python coding skills are assumed. Written by a recognized data science expert, Applied Machine Learning for Data Science Practitioners covers essential topics, including: <ul> <li>Data Science Fundamentals that provide you with an overview of core concepts, laying the foundation for understanding ML.</li> <li>Data Preparation covers the process of framing ML problems and preparing data and features for modeling.</li> <li>ML Problem Solving introduces you to a range of ML algorithms, including Regression, Classification, Ranking, Clustering, Patterns, Time Series, and Anomaly Detection.</li> <li>Model Optimization explores frameworks, decision trees, and ensemble methods to enhance performance and guide the selection of the most effective model.</li> <li>ML Ethics addresses ethical considerations, including fairness, accountability, transparency, and ethics.</li> <li>Model Deployment and Monitoring focuses on production deployment, performance monitoring, and adapting to model drift.</li> </ul>

Applied Machine Learning for Data Science Practitioners

How the rich and powerful use math to exploit you, and what you can do to beat them at their own game &nbsp;&nbsp;&nbsp;&nbsp;Everything we do today is recorded as data that's sold to the highest bidder. Plugging our personal data into impersonal algorithms has made government agencies more efficient and tech companies more profitable. But all this comes at a price. It's easy to feel like an insignificant number in a world of number-crunchers who care more about their bottom line&nbsp;than your humanity. It's time to flip the equation, turning math into an empowering tool for the rest of us. &nbsp;&nbsp;&nbsp;&nbsp;Award-winning mathematician Noah Giansiracusa explains how the tech giants and financial institutions use formulas to get ahead—and how anyone can use these same formulas in our everyday lives. You’ll learn how to handle risk rationally, make better investments, take control of your social media, and reclaim agency over the decisions you make each day.&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;In a society that all too often takes from the poor and gives to the rich, math can&nbsp;be a vital democratizing force. Robin Hood Math helps you to think for yourself, act in your own best interests, and thrive.

Take Control of the Algorithms That Run Your Life

Robin Hood Math

Dieses Buch zusammen mit den drei weiteren Bänden bietet einen klaren und umfassenden Zugang zur Theoretische Physik des gesamten Bachelorstudiums.&nbsp;BesonderheitenTheoretische Herleitungen werden verknüpft mit charakteristischen Beispielen, deren Lösungen sowie typischen Anwendungen und klar veranschaulicht in Abbildungen. Die benötigte Mathematik wird im physikalischen Kontext hergeleitet und transparent erklärt.&nbsp;Der InhaltStatistische Gesamtheiten –&nbsp;Identische Teilchen – Konzept der statistischen Gesamtheit – Statistische Definition der Entropie – Statistische Gesamtheiten im Gleichgewicht – Unabhängige identische Teilchen – Statistische Mechanik und Thermodynamik – Kleine Abweichungen vom Gleichgewicht – Das ideale Fermi-Gas – Das ideale Bose-Gas – Reale Gase – Magnetische und elektrische Eigenschaften der Materie –&nbsp;Kinetische Theorien&nbsp;Die Zielgruppe
 :
 Dieses Buch ist besonders geeignet für Bachelorstudierende im letzten Jahr.&nbsp;VorkenntnisseDie mathematischen Voraussetzungen umfassen Kenntnisse in Analysis, Linearer Algebra sowie Funktionentheorie.&nbsp;Der Autor:Wolfgang Cassing 
 ist pensionierter Professor für Theoretische Physik an&nbsp;der Justus-Liebig-Universität Gießen. Seine Expertise liegt in der Phasenraumdynamik klassischer und quantenmechanischer Vielteilchensysteme, die in sein Fachbuch „
 Transport Theories for Strongly-Interacting Systems
 “ einflossen. Seine hier vorliegende&nbsp;Lehrbuchreihe 
 Theoretische Physik kompakt
 umfasst auch Klassische Mechanik, Elektrodynamik, sowie Quantenmechanik.

Quantenstatistik und Thermodynamik

Theoretische Physik kompakt IV

IMBUE YOUR DATA WITH COMPELLING NARRATIVES THAT LEAD TO ACTION In Become a Great Data Storyteller: Learn How You Can Drive Change with Data, author Angelica Lo Duca unveils the art of transforming raw data into captivating stories that resonate with your audience. Moving beyond conventional data visualization techniques, this book introduces you to the essential steps for crafting engaging data narratives. Lo Duca guides you through understanding the needs of your data consumers, teaching you not just to present data, but to tell a story that inspires and drives change. Delving deeper, Become a Great Data Storyteller equips you with the skills you need to create characters within your data, setting them on a journey towards achieving their objectives, all while tailoring these stories to the specific needs of your audience. You'll learn to become the guiding voice in your narratives, effectively using the power of context to enrich your stories, making them not only more engaging but also more impactful. For professionals and enthusiasts eager to elevate their data presentation skills, this book is an inspirational call to action. The author invites you to redefine the way you communicate data, turning numbers and charts into meaningful stories that can drive decision-making and spark change. Become a masterful data storyteller and unlock the true potential of your data. Grab your copy today and start crafting stories that not only inform but also inspire.

Learn How You Can Drive Change with Data

Become a Great Data Storyteller

Philosophie - Aufklärung - Kritik

What does it mean to know something? What does it mean to prove something? And how are the two connected? Cara-Julie Kather explores Mathematics&nbsp;as a way of thinking and being in the world. She investigates Mathematics&nbsp;in its conceptual relation to Western understandings of the Rational and the Human, and proposes possibilities of subverting Western Mathematics&nbsp;and of forming different mathematical practices. To engage in decolonial-feminist re-writings of the Rational and the Human requires to re-write mathematical practice too. This study seeks to inspire such practices of re-writing thinking and being - in the realm of the mathematical and beyond.

Decolonial-Feminist Re-Writings of the »Rational« and the »Human«

The Epistemic Violence of Mathematics

A rigorous, cutting-edge overview of the range of methods used to conduct causal inference in the social sciences. This textbook provides a lucid, rigorous, and cutting-edge overview of the methods used to conduct causal inference in the social sciences, covering all the core techniques and latest advances. Offering a detailed survey of the current state of microeconometric theory, Damian Clarke delves deeply into machine learning applications and presents developments in difference-in-difference methods, instrumental variables, multiple hypothesis testing, and other advanced topics. With a diverse range of examples and exercises offering hands-on experience, Applied Microeconometrics equips graduate students and researchers to apply state-of-the art scholarship to actionable problems. <ul><li>Integrates a rich array of machine learning methods into causal modeling frameworks</li><li>Covers recent advances in difference-in-differences and dynamic research designs, formal discussions of challenges related to inference and hypothesis testing, and heterogeneity analysis</li><li>Features a breadth of real-world examples from recent papers</li><li>Includes coding implementation in Python, R, and Stata</li></ul>

Applied Microeconometrics

FROM THE BESTSELLING AUTHOR OF PROFESSOR STEWART'S CABINET OF MATHEMATICAL CURIOSITIES 'Britain's most brilliant and prolific populariser of maths' ALEX BELLOS What is the maximum land you can enclose inside a given border? What is the minimum number of colours you can use to colour in a map so that no region shares a shade? And how do you calculate the shortest route between two cities? These questions may not sound related, but they have this in common: they all explore extremes: shortest lines, greatest areas, fewest colours. They have also given rise to some of the most important areas of mathematical study and have resulted in a myriad of applications - from the legend of Dido's founding of the city of Carthage to contemporary satellite navigation systems. From soap bubbles to the cosmos, Britain's most beloved mathematician tells the fascinating stories of the people and ideas pushing the very bounds of mathematics - and the discoveries that have changed our lives.

How the Quest for the Biggest, Fewest and Weirdest Makes Maths

Reaching for the Extreme

Burnout rising. Systems cracking. Talent leaving. The solution: design for human dignity and full-person diversity—with this award-winning guide. The Canary Code reorganizes work for thriving—starting with those first impacted by faulty systems, like canaries first sensing toxic air in coal mines. Neurodivergent talent (members of ADHD, autism, Tourette’s syndrome, and learning-differences communities, and others who think and experience life differently) offer unique skills and exceptional work ethics, yet face employment barriers. Their unique abilities and perspectives are excluded, and their canary warnings about bullying, broken workflows, or ethical drift are ignored. This practical guide helps CEOs, managers, HR leaders, and changemakers improve work for all. Drawing on science and lived experience, 2025 Thinkers50 Talent Award winner and internationally renowned management expert Ludmila Praslova shows how embracing neurodiversity creates healthier, more innovative systems. A neurodivergent organizational psychologist with over twenty-five years of global practice and research on inclusive organizations, she offers the following: <ul><li>A holistic framework of human differences (social, cognitive, emotional, physical)</li><li>An intersectional, whole-person approach to neuroinclusion</li><li>Dignity-based talent practices, from hiring to leadership development</li><li>Global perspectives celebrating diverse neurodivergent voices</li><li>Actionable strategies for change at any organizational level</li></ul> Blending lived experience, academic rigor, and accessible writing, this groundbreaking work exemplifies neuroinclusion. It clearly indicates academic, applied, and personal content, supporting an individualized reader experience.

A Guide to Neurodiversity, Dignity, and Intersectional Belonging at Work

The Canary Code

Dieses Buch bietet eine prägnante und zugleich rigorose Einführung in die Wahrscheinlichkeitstheorie. Aus den möglichen Zugängen zum Thema wurde der modernste Ansatz auf Grundlage der Maßtheorie gewählt: Dieser Ansatz erfordert ein höheres Maß an mathematischer Abstraktion und Komplexität, ist jedoch unerlässlich, um fortgeschrittene Themen wie Stochastische Prozesse, Stochastische Differentialrechnung und Statistische Inferenz zu verstehen. Der vorliegende Text resultiert aus den Erfahrungen, die im Rahmen von Kursen für Wahrscheinlichkeitstheorie und angewandte Mathematik im Mathematikstudium an der Universität Bologna gewonnen wurden. Dieses Buch richtet sich an Studierende im zweiten oder dritten Jahr ihres Studiums in Mathematik, Physik oder einer anderen Naturwissenschaft und setzt Kenntnisse mehrdimensionaler Differential- und Integralrechnung voraus. Die vier Kapitel behandeln folgende Themen: Maße und Wahrscheinlichkeitsräume, Zufallsvariablen, Folgen von Zufallsvariablen und Grenzwertsätze, Erwartungswert und bedingte Verteilung. Außerdem beinhaltet dieses Buch eine umfangreiche Sammlung gelöster Übungen.

Zufallsvariablen and Verteilungen

Elementare Wahrscheinlichkeitstheorie I

A groundbreaking bridge between traditional financial theories and emerging interdisciplinary approaches, offering a unique perspective on finance in these uncertain times. From a seasoned expert in finance, behavioral finance, complexity science, and quantum finance. Adaptive Finance is a forward-looking exploration of the evolving world of finance, addressing the most pressing challenges and emerging trends facing financial markets today. It examines how traditional economic and financial models, long dominant in the field, are being redefined by advancements in behavioral science, mathematics, and technology. Financial professionals and academics must confront risks and dynamics that established theories often fail to capture in an era marked by complexity, technological disruption, and global uncertainty. This book provides the intellectual foundation needed to tackle these challenges. The chapters span a wide range of topics—from behavioral finance and causal models to quantum finance and innovations in financial systems—offering a comprehensive view of the forces reshaping finance. The book begins with well-established frameworks and progressively explores cutting-edge concepts, guiding readers through the transformation of financial theory and practice. Each chapter stands on its own, making the book suitable for both comprehensive study and selective reading. The authors present a timely perspective on how finance must adapt to a more complex and dynamic world.

Embracing Uncertainty and Complexity

Adaptive Finance

Working Guides to Estimating & Forecasting

The text considers Simple Linear Regression and ask what is it doing? how good is it? how accurate is it? and how can we use it to create estimates? The book considers all this and looks at how you can exploit this transformability and use the capability of Simple Linear Regression.

And Some Mathe-Magical Transformations

Best Fit Lines & Curves

Dieses Buch deckt alle relevanten mathematischen Themen eines Grundstudiums der Natur- oder Ingenieurwissenschaften ab, von der Analysis (inklusive einer ausführlichen Behandlung gewöhnlicher Differentialgleichungen mitsamt Modellierungsaspekten) und der linearen Algebra bis hin zu den wichtigsten Lösungsmethoden für partielle Differentialgleichungen. Das selbstständige Erlernen der Inhalte wird durch zahlreiche anwendungs- und praxisrelevante Beispiele motiviert und durch interaktive Aufgaben, verlinkte Videos und Repetitionsfragen gefördert. 
 Außerdem werden die Studierenden durch direkt in den entsprechenden Programmen bearbeitbare Dateien befähigt, mit den gängigsten Computer-Algebra-Systemen zu arbeiten, wodurch die eigene Auseinandersetzung mit der Materie weiter unterstützt wird.
 Insgesamt wird hier nicht nur eine äußerst geschickte didaktische Herangehensweise an die Mathematik umgesetzt, sondern die Themen werden zudem mit modernsten multimedialen Mitteln aufbereitet.&nbsp;&nbsp;Die AutorinDr. Laura Keller
 ist Senior Scientist an der ETH Zürich, also einerseits als Dozentin und andererseits als Forscherin tätig. Insbesondere hält sie seit mehreren Jahren Grundstudium-Mathematik-Vorlesungen für Studierende, die Mathematik nicht als Hauptfach belegen. Diese Vorlesungen sind bei den Studierenden nicht zuletzt wegen des großen didaktischen Geschicks der Dozentin und den vielen Praxisbezügen sehr geschätzt.

für Naturwissenschaftler, Ingenieure und Mediziner

Mathematik interaktiv und verständlich

Berkeley Lectures on P-Adic Geometry

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