Category: Non Fiction

Patterns of World History: Volume One: To 1600 - eBook
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Original price was: $35.97.Current price is: $5.00.
Patterns of World History: Volume 1: To 1600 (PDF) offers a distinct framework for understanding the global past through the study of origins, adaptations and interactions. Authors Peter von Sivers, Charles A. Desnoyers, and George Stow — each specialists in their own respective fields — examine the full range of
Healthcare Finance: An Introduction to Accounting and Financial Management (6th Edition) - eBook
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Original price was: $79.49.Current price is: $12.00.
The important concepts of both financial and accounting management are covered in this best-selling healthcare finance ebook. Through numerous examples, clear explanations, and realistic practice problems, it equips future managers with the grounding they need to make financially good decisions for their healthcare organizations. This comprehensively updated, Healthcare Finance: An
automate-this-audiobook
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Original price was: $5.00.Current price is: $4.00.
In this fascinating audiobook, Automate This: How Algorithms Took Over Our Markets, Our Jobs, and the World (audiobook) the author Chris Steiner tells the story of how algorithms took over and reveal why the “bot revolution” is about to spill into every facet of our lives. We meet bots which
Practical Research: Planning and Design (11th Edition) - eBook
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Original price was: $64.99.Current price is: $12.00.
Cross-disciplinary and engaging, Practical Research: Planning and Design, 11th edition, (PDF) is an understand-it-yourself, do-it-yourself manual for planning and conducting research. Suitable for a wide variety of courses in basic research methodology, the textbook guides the students, step-by-step, from the selection of a problem, through the process of conducting authentic
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.
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