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Titre : Linux Security Fundamentals Ed. 1 Type de document : e-book Auteurs : David CLINTON Editeur : John Wiley & Sons Année de publication : 2020 ISBN/ISSN/EAN : 9781119781462 Note générale : copyrighted Langues : Anglais (eng) Résumé : Linux Security Fundamentals provides basic foundational concepts of securing a Linux environment. The focus is the digital self-defense of an individual user. This includes a general understanding of major threats against individual computing systems, networks, services and identity as well as approaches to prevent and mitigate them.This book is useful for anyone considering a career as a Linux administrator or for those administrators who need to learn more about Linux security issues. Topics include: Security Concepts Encryption Node, Device and Storage Security Network and Service Security Identity and Privacy Readers will also have access to Sybex's superior online interactive learning environment and test bank, including chapter tests, a practice exam, electronic flashcards, a glossary of key terms. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88945536 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=579064 Luxury Brand Management in Digital and Sustainable Times Ed. 4 / Michel CHEVALIER / John Wiley & Sons (2020)
Titre : Luxury Brand Management in Digital and Sustainable Times Ed. 4 Type de document : e-book Auteurs : Michel CHEVALIER Editeur : John Wiley & Sons Année de publication : 2020 ISBN/ISSN/EAN : 9781119706281 Note générale : copyrighted Langues : Anglais (eng) Résumé : Learn about the luxury brand industry from the inside out with this masterful and insightful resource The newly revised Fourth Edition of Luxury Brand Management in Digital and Sustainable Times delivers a timely re-examination of what constitutes the contemporary luxury brand landscape and the current trends that shape the sector. Distinguished experts and authors Michel Chevalier and Gerald Mazzalovo provide readers with a comprehensive treatment of the macro- and micro-economic aspects of management, communication, distribution, logistics, and creation in the luxury industry. Readers will learn about the growing importance of authenticity and sustainability in the management of fashion, perfume, cosmetics, spirits, hotels and hospitality, jewelry, and other luxury brands, as well as the strategic issues facing the companies featured in the book. The new edition offers: A new chapter on the "Luxury of Tomorrow," with a particular focus on authenticity and durable development A completely revised chapter on "Communication in Digital Times," which takes into account the digital dimension of brand identity and its implications on customer engagement activities and where the concept of Customer Journey is introduced as a key marketing tool A rewritten chapter on "Luxury Clients" that considers the geographical changes in luxury consumption Considerations on the emerging notion of "New Luxury" Major updates to the data and industry figures contained within the book and a new section dedicated to the hospitality industry New semiotic analytical tools developed from the authors' contemporary brand management experiences Perfect for MA and MBA students, Luxury Brand Management also belongs on the bookshelves of marketing, branding, and advertising professionals who hope to increase their understanding of the major trends and drivers of success in this sector. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88945433 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=578979
Titre : Machine Learning for iOS Developers Ed. 1 Type de document : e-book Auteurs : Abhishek MISHRA Editeur : John Wiley & Sons Année de publication : 2020 ISBN/ISSN/EAN : 9781119602873 Note générale : copyrighted Langues : Anglais (eng) Résumé : Harness the power of Apple iOS machine learning (ML) capabilities and learn the concepts and techniques necessary to be a successful Apple iOS machine learning practitioner! Machine earning (ML) is the science of getting computers to act without being explicitly programmed. A branch of Artificial Intelligence (AI), machine learning techniques offer ways to identify trends, forecast behavior, and make recommendations. The Apple iOS Software Development Kit (SDK) allows developers to integrate ML services, such as speech recognition and language translation, into mobile devices, most of which can be used in multi-cloud settings. Focusing on Apple's ML services, Machine Learning for iOS Developers is an up-to-date introduction to the field, instructing readers to implement machine learning in iOS applications. Assuming no prior experience with machine learning, this reader-friendly guide offers expert instruction and practical examples of ML integration in iOS. Organized into two sections, the book's clearly-written chapters first cover fundamental ML concepts, the different types of ML systems, their practical uses, and the potential challenges of ML solutions. The second section teaches readers to use models?both pre-trained and user-built?with Apple's CoreML framework. Source code examples are provided for readers to download and use in their own projects. This book helps readers: Understand the theoretical concepts and practical applications of machine learning used in predictive data analytics Build, deploy, and maintain ML systems for tasks such as model validation, optimization, scalability, and real-time streaming Develop skills in data acquisition and modeling, classification, and regression. Compare traditional vs. ML approaches, and machine learning on handsets vs. machine learning as a service (MLaaS) Implement decision tree based models, an instance-based machine learning system, and integrate Scikit-learn & Keras models with CoreML Machine Learning for iOS Developers is a must-have resource software engineers and mobile solutions architects wishing to learn ML concepts and implement machine learning on iOS Apps. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88945303 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=578877 Machine Learning for Time Series Forecasting with Python Ed. 1 / Francesca LAZZERI / John Wiley & Sons (2020)
Titre : Machine Learning for Time Series Forecasting with Python Ed. 1 Type de document : e-book Auteurs : Francesca LAZZERI Editeur : John Wiley & Sons Année de publication : 2020 ISBN/ISSN/EAN : 9781119682363 Note générale : copyrighted Langues : Anglais (eng) Résumé : Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling. Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting. Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to: Understand time series forecasting concepts, such as stationarity, horizon, trend, and seasonality Prepare time series data for modeling Evaluate time series forecasting models' performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts. Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88945392 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=578947 Machine Learning : Hands-On for Developers and Technical Professionals Ed. 2 / Jason BELL / John Wiley & Sons (2020)
Titre : Machine Learning : Hands-On for Developers and Technical Professionals Ed. 2 Type de document : e-book Auteurs : Jason BELL Editeur : John Wiley & Sons Année de publication : 2020 ISBN/ISSN/EAN : 9781119642145 Note générale : copyrighted Langues : Anglais (eng) Résumé : Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructor's Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference. At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: Learn the languages of machine learning including Hadoop, Mahout, and Weka Understand decision trees, Bayesian networks, and artificial neural networks Implement Association Rule, Real Time, and Batch learning Develop a strategic plan for safe, effective, and efficient machine learning By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88945340 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=578905 Management Accounting Case Book : Cases from the IMA Educational Case Journal Ed. 1 / Raef A. LAWSON / John Wiley & Sons (2020)PermalinkPermalinkPermalinkMCA Microsoft Office Specialist (Office 365 and Office 2019) Study Guide : Word Associate Exam MO-100 Ed. 1 / Eric BUTOW / John Wiley & Sons (2020)PermalinkMe First : The Guilt-free Guide to Prioritising You Ed. 1 / Kate CHRISTIE / John Wiley & Sons (2020)PermalinkMeasuring Business Interruption Losses and Other Commercial Damages : An Economic Approach Ed. 3 / Patrick A. GAUGHAN / John Wiley & Sons (2020)PermalinkMicrosoft Azure Architect Technologies and Design Complete Study Guide : Exams AZ-303 and AZ-304 Ed. 1 / Benjamin PERKINS / John Wiley & Sons (2020)PermalinkMindfulness Pocketbook : Little Exercises for a Calmer Life Ed. 2 / Gill HASSON / John Wiley & Sons (2020)PermalinkPermalinkModern Big Data Architectures : A Multi-Agent Systems Perspective Ed. 1 / Dominik RYZKO / John Wiley & Sons (2020)PermalinkMoney Games : The Inside Story of How American Dealmakers Saved Korea's Most Iconic Bank Ed. 1 / Weijian SHAN / John Wiley & Sons (2020)PermalinkMoney Mammoth : Harness The Power of Financial Psychology to Evolve Your Money Mindset, Avoid Extinction, and Crush Your Financial Goals Ed. 1 / Brad KLONTZ / John Wiley & Sons (2020)PermalinkNever Say Sell : How the World's Best Consulting and Professional Services Firms Expand Client Relationships Ed. 1 / Tom MCMAKIN / John Wiley & Sons (2020)PermalinkNext Level Sales Coaching : How to Build a Sales Team That Stays, Sells, and Succeeds Ed. 1 / Steve JOHNSON / John Wiley & Sons (2020)PermalinkOversubscribed : How To Get People Lining Up To Do Business With You Ed. 2 / Daniel PRIESTLEY / John Wiley & Sons (2020)PermalinkPeak Performance Culture : The Five Metrics of Organizational Excellence Ed. 1 / Dave MITCHELL / John Wiley & Sons (2020)PermalinkPermalinkPositively Geared : How to Build a Multi-million Dollar Property Portfolio from a $40K Deposit Ed. 1 / Lloyd EDGE / John Wiley & Sons (2020)PermalinkPower Teams Beyond Borders : How to Work Remotely and Build Powerful Virtual Teams Ed. 1 / Peter IVANOV / John Wiley & Sons (2020)PermalinkPermalink
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