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Showing results for "felice wang"

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2025

EN

Recommender systems are ubiquitous in modern life and are one of the main monetization channels for Internet technology giants. This book helps graduate students, researchers and practitioners to get to grips with this cutting-edge field and build the thorough understanding and practical skills needed to progress in the area. It not only introduces the applications of deep learning and generative AI for recommendation models, but also focuses on the industry architecture of the recommender...

$59.99 CAD

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2021

EN

The Definitive, Practical, Proven Guide to Architecting Modern Software--Fully Updated with New Content on Mobility, the Cloud, Energy Management, DevOps, Quantum Computing, and MoreUpdated with eleven new chapters, Software Architecture in Practice, Fourth Edition, thoroughly explains what software architecture is, why it's important, and how to design, instantiate, analyze, evolve, and manage it in disciplined and effective ways....

$57.99 CAD

Software Testing Foundations, 4th Edition

A Study Guide for the Certified Tester Exam

2014

EN

Software Testing Foundations, 4th Edition provides the information necessary to pass the Certified Tester-Foundations Level exam, version 2011, as defined by the ISTQB; uses a format designed for self-study; and defines technical terms according to the updated ISTQB glossary.Professional testing of software is an essential task that requires a profound knowledge of testing techniques. The International Software Testing Qualifications Board (ISTQB) has deve...

$47.19 CAD

Workflow Management

Models, Methods, and Systems

2004

EN

This book offers a comprehensive introduction to workflow management, the management of business processes with information technology. By defining, analyzing, and redesigning an organization's resources and operations, workflow management systems ensure that the right information reaches the right person or computer application at the right time. The book provides a basic overview of workflow terminology and organization, as well as detailed coverage of workflow modeling with Petri nets. ...

$36.79 CAD

Python Machine Learning Projects

Learn how to build Machine Learning projects from scratch (English Edition)

2023

EN

Accessible

Since the last two decades, there have been many advancements in the field of Machine Learning. If you are new or want a comprehensive understanding of Machine Learning, then this book is for you. The book starts by explaining how important Machine Learning is today and the technology required to make it work. The book then helps you get familiar with basic concepts that underlie Machine Learning, including basic Python Programming. It explains different types of Machine Learning algorithm...

Artificial Intelligence for Business Analytics

Algorithms, Platforms and Application Scenarios

2023

EN

While methods of artificial intelligence (AI) were until a few years ago exclusively a topic of scientific discussions, today they are increasingly finding their way into products of everyday life. At the same time, the amount of data produced and available is growing due to increasing digitalization, the integration of digital measurement and control systems, and automatic exchange between devices (Internet of Things). In the future, the use of business intelligence (BI) and a look into t...

$90.29 CAD

2016

EN

This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and computational advertising. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book ...

$70.99 CAD

2023

EN

Let Peng Shao, a former engineering leader at Amazon and Staff ML Engineer at Twitter, be your guide to mastering Machine Learning interviews in this comprehensive 314-page resource.Inside, you'll find:. Comprehensive breakdown of the ML interview process, including all the major interview sessions: ML Fundamentals, ML Coding, ML System Design, & ML Infrastructure.. Proven strategies for approaching ...

$42.87 CAD

2013

EN

Software Engineering and Object Oriented Modeling: This book is specially written for those who are interested in understanding software engineering and Object Oriented Modeling concepts using UML in the Computer Engineering and Information technology field and want to gain enhanced knowledge about the power of UML Language in software development.Also everyone with interest in learning UML for Software Engineering for application development can refer to this book to get the knowl...

Predictive Analytics

Data Mining, Machine Learning and Data Science for Practitioners

2020

EN

Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-MakingUsing predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data and leverage these insights to improve many key business decisions. In this thoroughly updated guide, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students.Delen's holistic approach covers ke...

$47.99 CAD

Essential Cybersecurity Science

Build, Test, and Evaluate Secure Systems

2015

EN

If you’re involved in cybersecurity as a software developer, forensic investigator, or network administrator, this practical guide shows you how to apply the scientific method when assessing techniques for protecting your information systems. You’ll learn how to conduct scientific experiments on everyday tools and procedures, whether you’re evaluating corporate security systems, testing your own security product, or looking for bugs in a mobile game.Once author Josiah Dykstra gets ...

$36.79 CAD

R Machine Learning By Example

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

2016

EN

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully Key Features\[\*\] Get to grips with the concepts of machine learning through exciting real-world examples\[\*\] Visualize and solve complex problems by using power-packed R constructs and its robust packages for machine learning\[\*\] Learn to build your own machine learning system with this exampl...