Studying Indian Cinema

Ahmed, Omar

Auteur

<p><p><b>Implement real-world machine learning in a microservices architecture as well as design, build, and deploy intelligent microservices systems using examples and case studies</b></p> <p><b>Purchase of the print or Kindle book includes a free PDF eBook</b></p> <h4>Key Features</h4> <ul> <li>Design, build, and run microservices systems that utilize the full potential of machine learning</li> <li>Discover the latest models and techniques for combining microservices and machine learning to create scalable systems</li> <li>Implement machine learning in microservices architecture using open source applications with pros and cons</li> </ul> <h4>Book Description</h4> <p>With the rising need for agile development and very short time-to-market system deployments, incorporating machine learning algorithms into decoupled fine-grained microservices systems provides the perfect technology mix for modern systems. Machine Learning in Microservices is your essential guide to staying ahead of the curve in this ever-evolving world of technology.</p> <p>The book starts by introducing you to the concept of machine learning microservices architecture (MSA) and comparing MSA with service-based and event-driven architectures, along with how to transition into MSA. Next, you'll learn about the different approaches to building MSA and find out how to overcome common practical challenges faced in MSA design. As you advance, you'll get to grips with machine learning (ML) concepts and see how they can help better design and run MSA systems. Finally, the book will take you through practical examples and open source applications that will help you build and run highly efficient, agile microservices systems.</p> <p>By the end of this microservices book, you'll have a clear idea of different models of microservices architecture and machine learning and be able to combine both technologies to deliver a flexible and highly scalable enterprise system.</p> <h4>What you will learn</h4> <ul> <li>Recognize the importance of MSA and ML and deploy both technologies in enterprise systems</li> <li>Explore MSA enterprise systems and their general practical challenges</li> <li>Discover how to design and develop microservices architecture</li> <li>Understand the different AI algorithms, types, and models and how they can be applied to MSA</li> <li>Identify and overcome common MSA deployment challenges using AI and ML algorithms</li> <li>Explore general open source and commercial tools commonly used in MSA enterprise systems</li> </ul> <h4>Who this book is for</h4> <p>This book is for machine learning solution architects, system and machine learning developers, and system and solution integrators of private and public sector organizations. Basic knowledge of DevOps, system architecture, and artificial intelligence (AI) systems is assumed, and working knowledge of the Python programming language is highly desired.</p></p>

Machine Learning in Microservices: Productionizing microservices architecture for machine learning solutions

Computers & Technology

Abouahmed, Mohamed

Databases & Big Data

Packt Publishing

Studying Indian Cinema (Auteur)

This book traces the historical evolution of Indian cinema through a number of key decades. The book is made up of 14 chapters with each chapter focusing on one key film, the chosen films analysed in their wider social, political and historical context whilst a concerted engagement with various ideological strands that underpin each film is also evident. In addition to exploring the films in their wider contexts, the author analyses selected sequences through the conceptual framework common to both film and media studies. This includes a consideration of narrative, genre, representation, audience and mise-en-scene. The case studies run chronologically from Awaara (The Vagabond, 1951) to The Elements Trilogy: Water (2005) and include films by such key figures as Satyajit Ray (The Lonely Wife), Ritwick Ghatak (Cloud Capped Star), Yash Chopra (The Wall) and Mira Nair (Salaam Bombay!).

Humor & Entertainment

Movies

Liverpool University Press

<p>This book traces the historical evolution of Indian cinema through a number of key decades. The book is made up of 14 chapters with each chapter focusing on one key film, the chosen films analysed in their wider social, political and historical context whilst a concerted engagement with various ideological strands that underpin each film is also evident. In addition to exploring the films in their wider contexts, the author analyses selected sequences through the conceptual framework common to both film and media studies. This includes a consideration of narrative, genre, representation, audience and mise-en-scene. The case studies run chronologically from Awaara (The Vagabond, 1951) to The Elements Trilogy: Water (2005) and include films by such key figures as Satyajit Ray (The Lonely Wife), Ritwick Ghatak (Cloud Capped Star), Yash Chopra (The Wall) and Mira Nair (Salaam Bombay!).</p>

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