Category: Non Fiction

Macroeconomics (21st Edition) - eBook
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Original price was: $78.00.Current price is: $15.00. $0.00
Macroeconomics 21st edition (PDF) by expert authors McConnell/Flynn/Brue has long set the high standards for providing high-quality content to instructors and college students alike. Known for comprehensiveness, versatility, and persistent innovation, it has remained one of the most trusted and reliable choices for many principles of economics courses. The updated
Business Essentials (Canadian-9th Edition) - eBook
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Original price was: $59.99.Current price is: $12.00. $0.00
Currency and application are what involve today’s business students. Ebert is driven by these ethics, and loaded with interactivity. This new content model, rich with interactive assessments and widgets also features the benefits of Interactive Lesson Presentations; ensuring that Pearson meets the requirements of all instructors and learners before, during,
retail management a strategic approach 13e global
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Original price was: $134.00.Current price is: $15.00. $0.00
A contemporary etextbook that helps readers thrive in today’s retailing industry –  Retail Management: A Strategic Approach 13th edition (global) is built on the fundamental principle that retailers have to plan for and adapt to a changing, complex environment. Without a pre-defined and well-integrated strategy, retailers may flounder and be unable
Computer Security Fundamentals (3rd Edition) -eBook
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Original price was: $64.33.Current price is: $10.00. $0.00
1-volume introduction to computer security – Easttom’s Computer Security Fundamentals, 3rd Edition (PDF) is one of the best for the subject. Covers today’s latest attacks and countermeasures Clearly explains core concepts, challenges, terminology, technologies, and skills The perfect beginner’s guide for anyone interested in a good computer security career Chuck
Foundations of Deep Reinforcement Learning: Theory and Practice in Python - eBook
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Original price was: $28.79.Current price is: $5.00. $0.00
The Present-day Introduction to Deep Reinforcement Learning that Combines Theory and Practice Deep reinforcement learning (deep RL) integrates deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the last decade deep RL has attained remarkable results on a range of problems, from single