Fundamental Design Patterns For Machine Learning

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Fundamental Design Patterns For Machine Learning

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Author : Abel Heartree
language : en
Publisher:
Release Date : 2025-09-20

Fundamental Design Patterns For Machine Learning written by Abel Heartree and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-20 with Computers categories.

Step into the world where AI and machine learning meet practical system design-a blueprint for solving real-world problems with confidence and clarity.

Design Patterns In Machine Learning

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Author : Abel Heartree
language : en
Publisher:
Release Date : 2025-09-25

Design Patterns In Machine Learning written by Abel Heartree and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-25 with Computers categories.

Unlock the power of AI and machine learning with a guide that bridges theory and practice. A roadmap for building scalable, reliable, and ethical systems.

Deep Learning Patterns And Practices

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Author : Andrew Ferlitsch
language : en
Publisher: Simon and Schuster
Release Date : 2021-10-12

Deep Learning Patterns And Practices written by Andrew Ferlitsch and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-12 with Computers categories.

Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning of modern convolutional neural networks Procedural reuse design pattern for CNN architectures Models for mobile and IoT devices Assembling large-scale model deployments Optimizing hyperparameter tuning Migrating a model to a production environment The big challenge of deep learning lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Patterns and Practices is here to help. This unique guide lays out the latest deep learning insights from author Andrew Ferlitsch’s work with Google Cloud AI. In it, you'll find deep learning models presented in a unique new way: as extendable design patterns you can easily plug-and-play into your software projects. Each valuable technique is presented in a way that's easy to understand and filled with accessible diagrams and code samples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Discover best practices, design patterns, and reproducible architectures that will guide your deep learning projects from the lab into production. This awesome book collects and illuminates the most relevant insights from a decade of real world deep learning experience. You’ll build your skills and confidence with each interesting example. About the book Deep Learning Patterns and Practices is a deep dive into building successful deep learning applications. You’ll save hours of trial-and-error by applying proven patterns and practices to your own projects. Tested code samples, real-world examples, and a brilliant narrative style make even complex concepts simple and engaging. Along the way, you’ll get tips for deploying, testing, and maintaining your projects. What's inside Modern convolutional neural networks Design pattern for CNN architectures Models for mobile and IoT devices Large-scale model deployments Examples for computer vision About the reader For machine learning engineers familiar with Python and deep learning. About the author Andrew Ferlitsch is an expert on computer vision, deep learning, and operationalizing ML in production at Google Cloud AI Developer Relations. Table of Contents PART 1 DEEP LEARNING FUNDAMENTALS 1 Designing modern machine learning 2 Deep neural networks 3 Convolutional and residual neural networks 4 Training fundamentals PART 2 BASIC DESIGN PATTERN 5 Procedural design pattern 6 Wide convolutional neural networks 7 Alternative connectivity patterns 8 Mobile convolutional neural networks 9 Autoencoders PART 3 WORKING WITH PIPELINES 10 Hyperparameter tuning 11 Transfer learning 12 Data distributions 13 Data pipeline 14 Training and deployment pipeline

Architecting The Intelligent Cloud A Practitioner S Guide To Migration Integration And Automation 2025

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Author : Author :1-Divyesh Pradeep Shah, Author :2-Dr. Pramod Vishwakarma
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :

Architecting The Intelligent Cloud A Practitioner S Guide To Migration Integration And Automation 2025 written by Author :1-Divyesh Pradeep Shah, Author :2-Dr. Pramod Vishwakarma and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

PREFACE In the digital age, the cloud has become the cornerstone of innovation, scalability, and operational efficiency for businesses across industries. As organizations strive to adapt to an increasingly competitive and fast-paced environment, the need to harness the power of the cloud has never been more pressing. However, migrating to the cloud, integrating cloud-based solutions, and automating processes require careful planning, expertise, and strategic decision-making. “Architecting the Intelligent Cloud: A Practitioner’s Guide to Migration, Integration, and Automation” is designed to equip IT professionals, architects, and decision-makers with the knowledge and tools needed to successfully navigate the complex cloud journey. This book provides a comprehensive, hands-on approach to building, managing, and optimizing cloud infrastructures that support intelligent, data-driven applications. The increasing adoption of cloud computing, paired with the rise of artificial intelligence (AI), machine learning (ML), and automation, has fundamentally transformed how businesses operate and interact with their customers. The intelligent cloud is more than just a space for storing data—it is a platform that drives innovation, improves business agility, and enables organizations to build smart applications that respond to real-time data and user needs. However, the path to realizing the full potential of the cloud can be daunting. There are challenges in migration, integration, and automation that organizations must overcome to build a resilient and intelligent cloud infrastructure. In this book, we explore the critical stages of cloud migration, from selecting the right cloud model to assessing legacy systems and choosing the appropriate cloud services for specific business needs. We then dive into the intricacies of cloud integration, discussing how to seamlessly integrate on-premises systems, third-party applications, and cloud-native services to create a unified, efficient environment. Finally, we explore the automation of cloud operations, a key area for reducing manual intervention, optimizing workflows, and enhancing scalability in cloud-based systems. “Architecting the Intelligent Cloud” is aimed at practitioners who want a practical, actionable guide to making intelligent decisions about cloud technologies. Whether you are an architect overseeing large-scale cloud migration or a developer tasked with implementing cloud-native applications, this book provides valuable insights, best practices, and real-world examples to ensure that cloud strategies are executed successfully. The goal is to bridge the gap between theory and practice by focusing on the tools, techniques, and frameworks that can be applied directly to your cloud projects. Each chapter delves into the challenges and opportunities associated with building cloud infrastructures, providing you with practical advice on optimizing performance, enhancing security, and ensuring that cloud systems remain flexible and adaptable as your business evolves. The intelligent cloud is about much more than just technology; it is about transforming how businesses operate, innovate, and serve their customers. Through migration, integration, and automation, organizations can unlock the true potential of the cloud, creating agile, intelligent infrastructures that drive sustainable growth. This book is for the practitioner who wants to understand the “how” and “why” of cloud architecture in the context of modern business, and who is ready to embrace the future of IT with confidence and clarity. Authors

Cloud Computing Fundamentals

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Author : Richie Miller
language : en
Publisher: Richie Miller
Release Date :

Cloud Computing Fundamentals written by Richie Miller and has been published by Richie Miller this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

If you want to PASS the MICROSOFT AZURE AZ-900 EXAM, this book is for you! BUY THIS BOOK NOW AND GET STARTED TODAY! The AZ-900 Exam centres on the knowledge required to define cloud service benefits and usage considerations; explain IaaS, PaaS, and SaaS; compare public, private, and hybrid cloud models; describe core Azure architectural components, products, solutions, and management tools; describe how network connectivity is secured in Azure; describe core identity services; describe Azure security tools, features, governance methodologies, and monitoring and reporting options; describe privacy, compliance, and data protection standards; describe Azure subscriptions, cost planning, and cost management; and describe SLAs and the service lifecycle. In this book you will discover: · AZ-900 Exam Summary · Skills Measured Document · Why Use Microsoft Azure · How to Create an Azure Subscription · How to Create Resources in Azure · What are Azure Regions & Availability Zones · How to Choose Azure Region for Deploying Resources · Azure Data Centre Fundamentals · Resources and Resource Group Basics · How to Explore Azure Portal · How to Create Resource Groups in Azure · Azure Active Directory Basics · Azure Directories & Subscriptions · Azure Service Models · Azure Compute Options · Azure Virtual Machine Basics · Azure VM Scale & Availability Sets · How to Create a Virtual Machine in Azure · How to Explore Azure Virtual Machines · Azure AD Domain Services · Azure Virtual Desktop Basics · Azure Container Options · How to Create an Azure Container Instance · Azure App Service Fundamentals · How to Create an Azure App Service · Serverless Computing in Azure · How to Create an Azure Function · Azure Networking · How to Create an Azure VNET · How to Add Virtual Machine to VNET · How to Create a Network Security Group (NSG) · How to Peer Virtual Networks · Azure VPN Gateway Basics · Azure ExpressRoute Basics · Azure DNS Basics · Azure Private Endpoints · Azure Data Storage Options · Azure Storage Accounts · Azure Storage Account Redundancy Options · How to Create a Storage Account · Azure Blobs and Access Tiers · Azure File Attachments · How to Explore Azure Storage Accounts · Azure Data Transfer Options · Azure Storage Explorer · How to Use AzCopy to Upload & Manage Blobs · Managed Database Products in Azure · Azure Migrate Fundamentals · How to Use Azure Migrate to Move Apps to Azure · How to Migrate Data with Azure Data Box · Azure Resource Manager Basics · Azure Command Line Interface · Azure PowerShell · How to Use Azure Cloud Shell in Azure Portal · Azure Resource Manager Templates · Azure Service Health · How to use Azure Monitor · How to Explore Azure Monitor · How to Use Azure Monitor Metrics in a Resource · Log Analytics in Azure Monitor · How to Optimize Resources using Azure Advisor · Azure App for Mobile Devices · How to Manage Resources Outside Azure using Azure Arc · How to Add Local Server to Azure Arc BUY THIS BOOK NOW AND GET STARTED TODAY!

Kickstart Java Programming Fundamentals

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Author : Dr. Edward D Lavieri Jr.
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-07-24

Kickstart Java Programming Fundamentals written by Dr. Edward D Lavieri Jr. and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.

TAGLINE Become a Java Pro through Real, Hands-On Coding Experience. KEY FEATURES ● Master Java through hands-on, real-world coding examples. ● Progress from core basics to AI-powered Java development. ● Build desktop, web, mobile, and intelligent Java applications. DESCRIPTION In today’s tech-driven world, applied Java programming with AI integration is a game-changer. Java remains a backbone of enterprise and application development—but its real power emerges when combined with hands-on skills and modern technologies like artificial intelligence. Kickstart Java Programming Fundamentals offers a practical, real-world path to mastering Java—from basic syntax to building intelligent systems. Structured into three progressive sections, you'll begin with foundational topics such as variables, loops, OOP, and exception handling. Then, dive into core Java development with I/O operations, GUI programming, multithreading, and data structures. The final section guides you through advanced programming, including performance tuning, mobile and web development, design patterns, and incorporating AI techniques such as logic-based decision making and intelligent automation using Java. Through examples, exercises, and a capstone project, this book empowers you to write robust, modern Java applications. Whether you're prepping for a job, certification, or real-world coding challenges—this is your complete roadmap to mastering Java with AI. Learn it. Apply it. Lead with it. WHAT WILL YOU LEARN ● Develop Java-based apps using object-oriented programming principles. ● Design interactive GUIs, multithreaded systems, and networked apps. ● Integrate relational databases and query them using JDBC & SQL. ● Apply design patterns and best practices for scalable development. ● Build intelligent apps by integrating AI concepts into Java projects. ● Gain job-ready experience through structured, project-based learning. WHO IS THIS BOOK FOR? This book is tailored for students, aspiring developers, and professionals in computer science or software-related fields, especially where Java is a core subject. It is ideal for BCA, MCA, BTech, BE, and undergraduate learners or Java starters. No prior experience is required, just curiosity and a willingness to code. TABLE OF CONTENTS 1. Introduction to Java Programming 2. Variables, Data Types, Operators, and Control Structures 3. Object-Oriented Programming (OOP) Basics 4. Methods and Functions 5. File and Exception Handling 6. Input/Output Streams 7. GUI Programming 8. Concurrency and Mutli-Threading 9. Working with Collections and Data Structures 10. Networking in Java 11. Database Connectivity with JDBC 12. Java Performance Tuning and Optimization 13. Security, Testing, and Debugging 14. Exploring Popular Java Frameworks 15. Java for Web Development 16. Advanced Java Features 17. Mobile Development with Java 18. Design Patterns in Java 19. Using AI with Java Programming 20. Final Project and Next Steps Index

New Trends In Business Information Systems And Technology

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Author : Rolf Dornberger
language : en
Publisher: Springer Nature
Release Date : 2020-07-07

New Trends In Business Information Systems And Technology written by Rolf Dornberger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-07 with Technology & Engineering categories.

This book presents selected examples of digitalization in the age of digital change. It is divided into two sections: “Digital Innovation,” which features new technologies that stimulate and enable new business opportunities; and “Digital Business Transformation,” comprising business and management concepts that employ specific technological solutions for their practical implementation. Combining new insights from research, teaching and management, including digital transformation, e-business, knowledge representation, human-computer interaction, and business optimization, the book highlights the breadth of research as well as its meaningful and relevant transfer into practice. It is intended for academics seeking inspiration, as well as for leaders wanting to tap the potential of the latest trends to take society and their business to the next level.

Engineering Software For Modern Challenges

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Author : Dayang Norhayati A. Jawawi
language : en
Publisher: Springer Nature
Release Date : 2022-11-15

Engineering Software For Modern Challenges written by Dayang Norhayati A. Jawawi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-15 with Computers categories.

This volume constitutes selected papers presented at the First International Conference on Engineering Software for Modern Challenges, ESMoC 2021, held in Johor, Malaysia, in October 20-21, 2021. The 17 papers presented were thoroughly reviewed and selected from the 167 submissions. They are organized in the topical sections on ​software engineering; intelligent systems; software quality.

Reverse Engineering Of Design Patterns From Java Source Code

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Author : Nija Shi
language : en
Publisher:
Release Date : 2007

Reverse Engineering Of Design Patterns From Java Source Code written by Nija Shi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.

Transactions On Rough Sets I

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Author : James F. Peters
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-07-05

Transactions On Rough Sets I written by James F. Peters and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-07-05 with Computers categories.

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, starting from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. This first volume of the Transactions on Rough Sets opens with an introductory article by Zdzislaw Pawlak, the originator of rough sets. Nine papers deal with rough set theory and eight are devoted to applications in various domains.