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  • 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.
  • Sách/Book

  • Fundamentals of computer graphics

    • Authors: Steve Marschner (2021)

  • This book gives the necessary information for understanding how images get onto the screen by using the complementary approaches of ray tracing and rasterization. It covers topics common to an introductory course, such as sampling theory, texture mapping, spatial data structure, and splines. It also includes a number of contributed chapters from authors known for their expertise and clear way of explaining concepts.
  • Sách/Book

  • A guide to the Business Analysis Body of Knowledge (BABOK guide)

    • Authors: International Institute of Business Analysis (2015)

  • The major changes in this release include: • the inclusion of the Business Analysis Core Concept ModelTM (BACCMTM), • the expanded scope of the role of business analysis in creating better business outcomes, • the inclusion of Perspectives which describe specialized ways in which business analysis professionals provide unique value to the enterprise, • new and expanded Underlying Competencies to better reflect the diverse skill sets of the business analyst, and • new techniques that have emerged in the practice of business analysis.
  • Sách/Book

  • Forecasting: principles and practice

    • Authors: Rob J Hyndman (2018)

  • This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience.In this second edition, all chapters have been updated to cover the latest research and forecasting methods. Three new chapters have been added on dynamic regression forecasting, hierarchical forecasting and practical forecasting issues.
  • Sách/Book

  • The Basics of Cloud Computing: Understanding the Fundamentals of Cloud Computing in Theory and Practice

    • Authors: Derrick Rountree (2014)

  • The book will be presented as an introduction to the cloud, and reference will be made in the introduction to other Syngress cloud titles for readers who want to delve more deeply into the topic.This book gives readers a conceptual understanding and a framework for moving forward with cloud computing, as opposed to competing and related titles, which seek to be comprehensive guides to the cloud.
  • Sách/Book

  • CCNA 200-301 Official Cert Guide Vol.1

    • Authors: Wendell Odom (2024)

  • Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly.Master Cisco CCNA 200-301 exam topics. Assess your knowledge with chapter-opening quizzes. Review key concepts with exam preparation tasks. Practice with realistic exam questions in the practice test software CCNA 200-301 Official Cert Guide, Volume 1, Second Edition from Cisco Press enables you to succeed on the exam the first time and is the only self-study resource approved by Cisco. Best-selling author and expert instructor Wendell Odom shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills.
  • Sách/Book

  • Deep Learning for Time Series Forecasting: Predict the Future with MLPs, CNNs and LSTMs in Python

    • Authors: Jason Brownlee (2018)

  • Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence and the automatic handling of temporal structures like trends and seasonality. With clear explanations, standard Python libraries, and step-by-step tutorial lessons you’ll discover how to develop deep learning models for your own time series forecasting projects.