Bücher veröffentlicht von Orange Education Pvt Ltd

DESCRIPTIONThis book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets. Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It's an ultimate guide to explore areas like deep learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models. ¿TABLE OF CONTENTS Chapter 1: Getting Started With OpenCV Chapter 2: Basic Image & Video Analytics in OpenCVChapter 3: Image Processing 1 using OpenCVChapter 4: Image Processing 2 using OpenCVChapter 5: Thresholding and Contour Techniques Using OpenCV Chapter 6: Detect Corners and Road Lane using OpenCVChapter 7: Object And Motion Detection Using OpencvChapter 8: Image Segmentation and Detecting Faces Using OpenCVChapter 9: Introduction to Deep Learning with OpenCVChapter 10: Advance Deep Learning Projects with OpenCVChapter 11: Deployment of OpenCV projectsBy the end, you would have mastered and applied ML concepts confidently to real-world computer vision problems and will be able to develop robust and accurate machine-learning models for diverse applications. Whether you are new to machine learning or seeking to enhance your computer vision skills, This book is an invaluable resource for mastering the integration of machine learning and computer vision using OpenCV and Python.

DESCRIPTIONThis book provides a comprehensive guide to TypeScript, a programming language that extends JavaScript with powerful features like static typing, classes, and interfaces. The book is divided into thirteen chapters that cover everything from setting up a development environment to building an Angular app with TypeScript. We start with an introduction to TypeScript and its benefits and go on to explain how TypeScript can help developers write more maintainable, scalable code and catch errors before they make it to production. The book then dives into more technical topics like basic type annotations, using the TypeScript compiler, advanced features like enums and interfaces, and manipulating types. TABLE OF CONTENTS Chapter 1: Introduction to TypeScript and its BenefitsChapter 2: Setting Up a Development EnvironmentChapter 3: Basic Type AnnotationsChapter 4: Using the TypeScript CompilerChapter 5: Enums, Interfaces, and NamespacesChapter 6: Objects, Arrays, and Tuples in TypeScriptChapter 7: Functions in TypeScriptChapter 8: Classes in TypeScriptChapter 9: Control Flow AnalysisChapter 10: Manipulating TypesChapter 11: TypeScript ModulesChapter 12: Creating Declaration FilesChapter 13: TypeScript Project: Creating an Angular App

This book will teach you everything about the powerful techniques and applications of parallel computing, from the basics of parallel programming to the cutting-edge innovations shaping the future of computing. The book starts with an introduction to parallel programming and the different types of parallelism, including parallel programming with threads and processes. The book then delves into asynchronous programming, distributed Python, and GPU programming with Python, providing you with the tools you need to optimize your programs for distributed and high-performance computing. The book also covers a wide range of applications for parallel computing, including data science, artificial intelligence, and other complex scientific simulations. You will learn about the challenges and opportunities presented by parallel computing for these applications and how to overcome them. By the end of the book, you will have insights into the future of parallel computing, the latest research and developments in the field, and explore the exciting possibilities that lie ahead.TABLE OF CONTENTS 1. Introduction to Parallel Programming 2. Building Multithreaded Programs 3. Working with Multiprocessing and mpi4py Library4. Asynchronous Programming with AsyncIO5. Realizing Parallelism with Distributed Systems 6. Maximizing Performance with GPU Programming using CUDA7. Embracing the Parallel Computing Revolution8. Scaling Your Data Science Applications with Dask9. Exploring the Potential of AI with Parallel Computing10. Hands-on Applications of Parallel Computing

DESCRIPTIONCloud platforms face unique security issues and opportunities because of their evolving designs and API-driven automation. We will learn cloud-specific strategies for securing platforms such as AWS, Microsoft Azure, Google Cloud Platform, Oracle Cloud Infrastructure, and others. The book will help you implement data asset management, identity and access management, network security, vulnerability management, incident response, and compliance in your cloud environment.WHAT WILL YOU LEARN ¿ Understand the critical role of Identity and Access Management (IAM) in cloud environments.¿ Address different types of security vulnerabilities in the cloud.¿ Develop and apply effective incident response strategies for detecting, responding to, and recovering from security incidents.¿ Establish a robust and secure security system by selecting appropriate security solutions for your cloud ecosystem.TABLE OF CONTENTS SECTION I: Overview and Need to Transform to Cloud Landscape1. Evolution of Cloud Computing and its Impact on Security 2. Understanding the Core Principles of Cloud Security and its Importance3. Cloud Landscape Assessment and Choosing the Solution for Your EnterpriseSECTION II: Building Blocks of Cloud Security Framework and Adoption Path4. Cloud Security Architecture and Implementation Framework5. Native Cloud Security Controls and Building Blocks6. Examine Regulatory Compliance and Adoption path for Cloud 7. Creating and Enforcing Effective Security PoliciesSECTION III: Maturity Path8. Leveraging Cloud-based Security Solutions for Security-as-a-Service9. Cloud Security Recommendations and Best Practices