Browsing 04. Computer science - Data science - IT by Title
Now showing items 310-329 of 508
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Leading digital : turning technology into business transformation
(Harvard Business Review Press, 2014)"Leading Digital makes the provocative argument that the next imminent phase of digital technology adoption - driven by the convergence of mobility, analytics, social media, cloud computing, and embedded devices - will ... -
Learning DevOps - Second Edition: A comprehensive guide to accelerating DevOps culture adoption with Terraform, Azure DevOps, Kubernetes, and Jenkins
(Packt Publishing, 2022)In the implementation of DevOps processes, the choice of tools is crucial to the sustainability of projects and collaboration between developers and ops. This book presents the different patterns and tools for provisioning ... -
Learning PHP, MySQL & JavaScript : with jQuery, CSS & HTML5
(O'Reilly Media, Inc., 2018)Build interactive, data-driven websites with the potent combination of open source technologies and web standards, even if you have only basic HTML knowledge. In this update to this popular hands-on guide, you’ll tackle ... -
Learning web design : a beginner's guide to HTML, CSS, Javascript, and Web Graphics
(O’Reilly Media, Inc., 2018)Do you want to build web pages but have no prior experience? This friendly guide is the perfect place to start. You’ll begin at square one, learning how the web and web pages work, and then steadily build from there. By ... -
Linear Algebra: An inquiry - based approach (textbooks in mathematics)
(CRC Press, 2021) -
Linux for embedded and real-time applications
(Elsevier/Newnes, 2018)This book provides a practical introduction to the basics, covering the latest developments in this rapidly evolving technology. Ideal for those new to the use of Linux in an embedded environment, the book takes a hands-on ... -
Linux system administration
(O'Reilly, 2007)Linux System Administration offers practical knowledge for managing a complete range of Linux systems and servers. The book summarizes the steps you need to build everything from standalone SOHO hubs, web servers, and LAN ... -
Machine learning
(McGraw-Hill, 1997)This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and ... -
Machine learning : algorithms and applications
(CRC Press, 2017)Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the ... -
Machine Learning Algorithms and Applications
(Wiley, 2021)Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and ... -
Machine learning for algorithmic trading : predictive models to extract signals from market and alternative data for systematic trading strategies with Python
(Packt Publishing, 2020)This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from ... -
Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R (2nd Edition)
(Wiley, 2023)Machine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning ... -
Machine Learning Techniques and Analytics for Cloud Security
(Scrivener Publishing, 2024)Our objective in writing this book was to provide the reader with an in-depth knowledge of how to integrate machine learning (ML) approaches to meet various analytical issues in cloud security deemed necessary due to the ... -
Management information systems : managing the digital firm
(Pearson, 2022)This book provides the most comprehensive overview of information systems used by business firms today while drawing connections between MIS and business performance. The Laudon's are known for their outstanding real-world ... -
Management information systems : managing the digital firm
(Pearson, 2020)This book provides the most comprehensive overview of information systems used by business firms today, while drawing connections between MIS and business performance. The Laudons are known for their outstanding real-world ... -
Management information systems : managing the digital firm
(Pearson, 2018)Designed for business students, the text provides insight into how contemporary businesses leverage information technologies and systems to achieve corporate objectives. The new edition provides the most up-to-date and ... -
Management of information security
(Cengage Learning, 2019)This 6th edition prepares you to become an information security management practitioner able to secure systems and networks in a world where continuously emerging threats, ever-present attacks and the success of criminals ... -
Managing and using information systems: a strategic approach
(John Wiley & Sons, Inc., 2016)This book conveys the insights and knowledge MBA students need to become knowledgeable and active participants in information systems decisions. This text is written to help managers begin to form a point of view of how ... -
Managing information technology
(Prentice Hall, 2012) -
Managing information technology
(Springer, 2016)There are two different, interdependent components of IT that are important to a CIO: strategy, which is long-term; and tactical and operational concerns, which are short-term. Based on this distinction and its repercussions, ...
