Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Publikationen

Publications

Literatur

Onlinemodule LEXIA

Modules en ligne LEXIA

Bücher

Livres

Buchreihen

Collections

Datenbanken

recht.ch

Studienliteratur

Littérature pour les études

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

McIntyre N: Calculus for the Curious

Calculus for the Curious

Foreword Acknowledgments Introduction Chapter 1: Python Basics Chapter 2: Drawing with Turtle Graphics Chapter 3: Functions and Derivatives Chapter 4: Integrals Chapter 5: Ordinary Differential Equations and Vectors Chapter 6: Dynamical Systems Chapter 7: Linear Algebra with NumPy Chapter 8: Multivariable Calculus Chapter 9: Fourier Transforms Appendix A Bibliography Index

The book captures the essence of the International Conference on Data Science &amp; Exploration in Artificial Intelligence and offers a comprehensive exploration of cutting-edge research in AI, data science, and their applications. It covers a wide array of topics including advanced Data Science, IoT, Security, Cloud Computing and Networks.

Proceedings of the First International Conference On Data Science & Exploration in Artificial Intelligence (CODE-AI 2024) Bangalore, India, 3rd- 4th July, 2024 (Volume 1)

Data Science & Exploration in Artificial Intelligence

This book illustrates statistics with the R programming language, an emerging tool in data science. Filled with techniques for data science and analytics programming, the book is written for students and professionals. It is focused on learning outcomes and problem solving.

Demystifying Probability and Statistics for Data Scientists with R

This book serves as an introduction to Banach algebra theory, operator theory, and C*-algebras. It is aimed at graduate students with basic knowledge of functional analysis, or researchers who wish to pursue research in these areas.While covering the standard material necessary to embark on any further exploration of the theory (Gelfand theory, the GNS construction and the spectral theorem for normal operators), the book also presents specialized material and topics of recent interest, including the holomorphic functional calculus and upper-semicontinuity of the spectrum, Jacobson's Density Theorem, the Cohen-Hewitt Factorisation Theorem, Kaplansky's Density Theorem and Kadison's Transitivity Theorem.The presentation is detailed and clear, with special attention to highlighting the scope and limitations of the theory through examples. Each chapter includes Notes and Remarks which provide extra context, and in many instances relate the material to recent results in the research literature and to open problems.The appendices are not normally found in introductory textbooks, which include Fredholm theory for Hilbert space operators, Arens regularity, the injective and projective tensor products of Banach spaces, the Schatten p-classes, and the Sherman-Takeda Theorem.

Introduction To Banach Algebras And Operator Algebras, An

Written by a data scientist with decades of practical experience on some of the most challenging datasets, this book caters to both novices and professionals working in the fields of data science and machine learning. It enables novices to enter these fields with confidence and ease. There are no formal prerequisites. An introduction to Python is included. The book then proceeds to cover some of the language's most advanced features. The mathematical foundations that follow are meticulously explained. The discussion then proceeds to a practical consideration of data science and machine learning. The material is delivered through case studies developed on real datasets. The reader is invited to follow these case studies, and so develop experience in working with real data. Numerous solved exercises make this work suitable for self-study. The contents of this book have been taught by the author to students of different age groups and levels of experience at Imperial College London and at the Thalesians Intensive Summer School in Artificial Intelligence over the years.

Introduction To Python For Quantitative Finance, An: From Scratch To Productivity

"Advancements in data analytics and the widespread use of large-scale data are driving a golden age of evidence-based management. This timely publication addresses limitations in traditional business school curricula."-Professor Xu Huang, Associate Dean (Research and Impact) and Chair Professor in Management, School of Business, Hong Kong Baptist UniversityThe knowledge and skills of data analytics enable business professionals to make evidence-based decisions rather than just by intuition. To appreciate the knowledge and skills, one needs to understand the theory, hands-on statistical operations using computer software, business application case studies and the analytics project maturity roadmap.Hands-on Data Analytics for Business is a concise all-in-one analytics textbook for business professionals and university students who want to:<ul> <li>Understand the essential theories and concepts of data analytics</li> <li>Grasp hands-on practical statistical and analytics skills step-by-step using SPSS and Excel</li> <li>Appreciate real-world well-known case studies in human resources, marketing and supply chain on how data analytics is applied in business.</li> </ul>This book is for business professionals or university students seeking to master data analytics knowledge and technical skills to a level allowing them to practice data analytics hands-on and manage data analytics projects at scale. For business professionals, the book is written in a way to help learn statistical skills in a concise way with practical real-world examples to inspire business applications. For students, this book is organized in a sequence readily deliverable for a university course with classes combining theory or concepts, hands-on practice and case studies. For all readers, the book is an essential guide on using data analytics to tackle modern complex activities for companies to gain a competitive edge.

Hands-on Data Analytics for Business

Series On Analysis, Applications And Computation

The book is devoted to rigorous mathematical results on discrete nonlinear Schrödinger equations (DNLS), including the initial value problem of the time-dependent DNLS and the standing wave of the stationary DNLS.The stationary DNLS equations emerge as equations for the profile of the standing wave in evolutionary DNLS. The book mainly presents well-localized, finite-energy solutions that represent solitary standing waves (breathers in the terminology of nonlinear science), while some other types of solutions are considered as well. The approach accepted in this book is variational, based on various critical point theorems of the mountain pass and linking type, as well as constrained minimization.The book covers the existence of solutions and their properties under various physically reasonable assumptions on linear and nonlinear potentials. It also contains a number of open problems which might be thesis topics for fresh PhD students. The results presented are scattered over a large number of research articles and have never been presented in a monograph form. In addition, there is necessary material from the spectral theory of discrete Schrödinger operators, time-dependent DNLS, and a brief presentation of critical point theorems used in the book.

Discrete Nonlinear Schrodinger Equation: Beyond Complete Integrability

If you're an experienced JavaScript developer or want to level up your current TypeScript skills, with Total TypeScript, you'll learn everything you need to build a TypeScript product from scratch. Based on a series of sold-out workshops, the material in Total TypeScript has been tested by hundreds of developers to ensure their effectiveness and value. You'll explore useful patterns you can immediately apply in your projects and helpful workarounds for TypeScript's most common pitfalls. Dozens of exercises throughout range from writing solutions from scratch to advanced typing to debugging, so you'll be prepared for the gotchas that appear in real-world applications. You'll also learn how to: Set up a TypeScript development environment and how to leverage its superpower IDE, Add types to functions, arrays, and objects, and make reusable types with type aliases, Express object types, including index signatures, Records, and interfaces, Take advantage of classic object-oriented patterns in your code, Configure TypeScript for any situation and powerful features to design your own types. With this straightforward and approachable guide, you'll go from learning the foundations to a TypeScript wizard equipped to handle any TypeScript project that comes your way with confidence.

Total Typescript

Differential algebra explores properties of solutions of systems of (ordinary or partial, linear or non-linear) differential equations from an algebraic point of view. It includes as special cases algebraic systems as well as differential systems with algebraic constraints. This algebraic theory of Joseph F Ritt and Ellis R Kolchin is further enriched by its interactions with algebraic geometry, Diophantine geometry, differential geometry, model theory, control theory, automatic theorem proving, combinatorics, and difference equations. Differential algebra now plays an important role in computational methods such as symbolic integration and symmetry analysis of differential equations. These proceedings consist of tutorial and survey papers presented at the Second International Workshop on Differential Algebra and Related Topics at Rutgers University, Newark in April 2007. As a sequel to the proceedings of the First International Workshop, this volume covers more related subjects, and provides a modern and introductory treatment to many facets of differential algebra, including surveys of known results, open problems, and new, emerging, directions of research. It is therefore an excellent companion and reference text for graduate students and researchers.

Differential Algebra and Related Topics II

This book covers computational group theory (CGT), an active, rapidly expanding field at the interface of mathematics and computer science. It is the first systematic effort to establish computing with infinite matrix groups on the same footing as the rest of CGT. The book emphasizes practical methods based on results of linear group theory, solutions of fundamental algorithmic problems, and provision of software. Additionally, the book sets out a research program to make further progress in the area.

Linear Groups and Computation

The Book of PF, 3rd Edition is the essential guide to building a secure network with PF, the OpenBSD packet filtering tool. The OpenBSD packet filter, PF, is central to the OpenBSD and FreeBSD network toolbox. With more and more services placing high demands on bandwidth and an increasingly hostile Internet environment, no sysadmin can afford to be without PF expertise. The fourth edition of The Book of PF covers the most up-to-date developments in PF, including new content on IPv6, dual stack configurations, the “queues and priorities” traffic-shaping system, NAT and redirection, wireless networking, spam fighting, failover provisioning, logging, and more. You’ll also learn how to: <ul><li>Create rule sets for all kinds of network traffic, IPv4 and IPv6 both, whether crossing a simple LAN, hiding behind NAT, traversing DMZs, or spanning bridges or wider networks </li><li>Set up wireless networks with access points, and lock them down using authpf and special access restrictions </li><li>Maximize flexibility and service availability via CARP, relayd, and redirection </li><li>Build adaptive firewalls to proactively defend against attackers and spammers </li><li>Harness OpenBSD’s latest traffic-shaping system to keep your network responsive, or use ALTQ and Dummynet configurations on FreeBSD to full effect </li><li>Stay in control of your traffic with monitoring and visualization tools (including NetFlow) </li></ul> The Book of PF is the essential guide to building a secure network with PF. With a little effort and this book, you’ll be well prepared to unlock PF’s full potential. Covers OpenBSD 7.6 and FreeBSD 14.x

A No-Nonsense Guide to the OpenBSD Firewall

The Book of PF, 4th Edition

This textbook presents an introduction to continuum mechanics covering fundamental mathematical tools, general laws and major models. The material is based on lectures held at Gubkin's Russian State University of Oil and Gas. It also includes material related to a joint research seminar with the Institute of Problems in Mechanics of the Russian Academy of Science. The knowledge provided is necessary to understand the structure of existing models, to read and understand the literature and to apply existing methods consciously. Results from computer simulations of virtual models of oil-gas-production are presented to illustrate applications.&nbsp;Graduate students as well as researchers in applied mathematics will benefit from this self-contained text which is enriched by many examples and exercises.
&nbsp;

Calculus for the Curious

Autres titres sur ce thème