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  • Sách/Book

  • Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits

    • Authors: Tarek Amr (2020)

  • The book begins with an explanation of machine learning concepts and fundamentals, and strikes a balance between theoretical concepts and their applications. Each chapter covers a different set of algorithms, and shows you how to use them to solve real-life problems.
  • Sách/Book

  • Artificial Intelligence in a Throughput Model : Some Major Algorithms

    • Authors: Waymond Rodgers (2020)

  • This book provides an overview of the existing biometric technologies, decision-making algorithms and the growth opportunity in biometrics. The book proposes a throughput model, which draws on computer science, economics and psychology to model perceptual, informational sources, judgmental processes and decision choice algorithms
  • Sách/Book

  • Hands-On Gradient Boosting with XGBoost and scikit-learn

    • Authors: Corey Wade (2020)

  • The book introduces machine learning and XGBoost in scikit-learn before building up to the theory behind gradient boosting. You'll cover decision trees and analyze bagging in the machine learning context, learning hyperparameters that extend to XGBoost along the way. You'll build gradient boosting models from scratch and extend gradient boosting to big data while recognizing speed limitations using timers.
  • Sách/Book

  • Elastic Optical Networks : Fundamentals, Design, Control, and Management

    • Authors: Bijoy Chand Chatterjee (2020)

  • The book explains the fragmentation problem in EONs, discusses, and analyzes the major conventional spectrum allocation policies in terms of the fragmentation effect in a network. The taxonomies of the fragmentation management approaches are presented along with different node architectures. State-of-the-art fragmentation management approaches are looked at.
  • Sách/Book

  • Saunders nursing drug handbook

    • Authors: Kizior, Robert J (2020)

  • The go-to guide for students and nurses alike to promote better patient care! Saunders Nursing Drug Handbook 2021 provides you with essential information on more than 1,000 generic and 4,000 trade name drugs. This handy, user-friendly guide features updated Black Box Alerts and comprehensive coverage of IV drug administration, side effects and adverse reactions, fixed combinations, and nursing considerations. It uniquely guides you through clinical priorities in the practice setting and is organized alphabetically by generic drug name for quick reference. New drug monographs cover 17 new FDA-approved drugs!
  • Sách/Book

  • Curriculum development in nursing education

    • Authors: Iwasiw, Carroll L (2020)

  • "Curriculum Development in Nursing Education, Fourth Edition provides nursing students with the theory and practical ideas necessary to develop an evidence-based, context-relevant, unified curriculum. Throughout the text the authors guide students to develop this type of curriculum with an emphasis on a concept-based curriculum"
  • Sách/Book

  • Deja review. Microbiology and immunology

    • Authors: Chen, Eric M (2020)

  • "This high-yield, rapid-fire Q&A book simulates flashcards in a book to help medical students review microbiology and immunology for their course exams as well as prepare for the USMLE Step 1. It is also a great review for students in basic courses in other health-related programs"--