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Results 1731-1740 of 1971 (Search time: 0.003 seconds).
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  • 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

  • Speech and language processing : An introduction to natural language processing, computational linguistics, and speech recognition

    • Authors: Daniel Jurafsky (2025)

  • In the first part of the book we introduce the fundamental suite of algorithmic and linguistic tools that make up the modern neural large language model. We begin with tokenization and preprocessing, including Unicode, and then proceed to intro- duce many basic language modeling ideas using simple n-gram language models, we then introduce the algorithms which are the components of large language models logistic regression, embeddings, and feedforward networks. Next we are ready to introduce the principles of large language modeling, encoder, decoders and pretrain- ing, then the fundamental transformer architecture, then masked language model and other architectures like RNNs and LSTMs, information retrieval and retrieval- based algorithms like RAG, machine translation and the encode...
  • 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

  • Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

    • Authors: Rajalingappaa Shanmugamani (2018)

  • This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning. In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation.
  • 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.