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Results 1741-1750 of 1753 (Search time: 0.002 seconds).
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  • Sách/Book

  • Machine Learning for Pattern Recognition

    • Authors: Chih-Lung Lin (2024)

  • This reprint brings together contributions from leading experts in their fields. Each paper provides valuable insights into the latest trends, methods, and challenges in state-of-the-art applications of machine learning for pattern recognition. In addition, the research in each paper not only showcases the latest advancements in machine learning algorithms but also discusses their successful applications and the challenges encountered in real-world scenarios.
  • Sách/Book

  • High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark

    • Authors: Holden Karau (2023)

  • With this book, you'll learn how to: Accelerate your ML workflows with integrations including PyTorch. Handle key skew and take advantage of Spark's new dynamic partitioning. Make your code reliable with scalable testing and validation techniques. Make Spark high performance. Deploy Spark on Kubernetes and similar environments.Take advantage of GPU acceleration with RAPIDS and resource profiles. Get your Spark jobs to run faster. Use Spark to productionize exploratory data science projects. Handle even larger datasets with Spark. Gain faster insights by reducing pipeline running times. Become an O’Reilly member and get unlimited acces.
  • Sách/Book

  • MongoDB : the definitive guide: powerful and scalable data storage

    • Authors: Shannon Bradshaw (2019)

  • This book shows you how to: Work with MongoDB, perform write operations, find documents, and create complex queries. Index collections, aggregate data, and use transactions for your application. Configure a local replica set and learn how replication interacts with your application. Set up cluster components and choose a shard key for a variety of applications. Explore aspects of application administration and configure authentication and authorization Use stats when monitoring, back up and restore deployments, and use system settings when deploying MongoDB
  • Sách/Book

  • Dive into Deep Learning

    • Authors: Aston Zhang (2023)

  • Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you to simultaneously understand how to cast a problem, the basic mathematics of modeling, the algorithms for fitting your models to data, and the engineering techniques to implement it all. This book is a comprehensive resource that makes deep learning approachable, while still providing sufficient technical depth to enable engineers, scientists, and students to use deep learning in their own work.
  • Sách/Book

  • Management Information Systems

    • Authors: Raymond McLeod, Jt (2007)

  • Giới thiệu toàn diện về hệ thống thông tin quản lý trong doanh nghiệp, tập trung vào cách thức công nghệ thông tin hỗ trợ quản trị, chiến lược kinh doanh và ra quyết định. Trình bày các hệ thống ERP, CRM, thương mại điện tử và các xu hướng công nghệ mới.
  • Sách/Book

  • Reinforcement Learning: An Introduction

    • Authors: Richard S. Sutton (2018)

  • Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo ...
  • Sách/Book

  • Lean Analytics: Use Data to Build a Better Startup Faster

    • Authors: Alistair Croll (2013)

  • This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without.