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Keras to Kubernetes
Build a Keras model to scale and deploy on a Kubernetes cluster We have seen an exponential growth in the use of Artificial Intelligence (AI) over last few years. AI is becoming the new electricity and is touching every industry from retail to manufacturing to healthcare to entertainment. Within AI, were seeing a particular growth in Machine Learning (ML) and Deep Learning (DL) applications. ML is all about learning relationships from labeled (Supervised) or unlabeled data (Unsupervised). DL has many layers of learning and can extract patterns from unstructured data like images, video, audio, etc. em style="box-sizing: border-box;"Keras to Kubernetes: The Journey of a Machine Learning Model ...
Work 3.0
What will the worker, workplace and work itself look like in the future? Work 3.0 tackles this and some of the other most pressing and complex questions of the present age, head-on. Avik Chanda and Siddhartha Bandyopadhyay employ rigorous research supplemented with industry reports, business case studies, expert interviews, anecdotes, their personal expertise and insights, to present a rich multi-disciplinary brew that spans economics, statistics, public policy, history, sociology, psychology, law, political science, literature and philosophy. Highly ambitious in scope, astonishingly rich in analytical detail and far-reaching in its conclusions, the book will change the way you think about the future and how the past and present still shape it. Conceived as the ultimate future of work preparation guide, this book is essential reading for our tenuous and unpredictable times.
Security Patterns in Practice
Learn to combine security theory and code to produce secure systems Security is clearly a crucial issue to consider during the design and implementation of any distributed software architecture. Security patterns are increasingly being used by developers who take security into serious consideration from the creation of their work. Written by the authority on security patterns, this unique book examines the structure and purpose of security patterns, illustrating their use with the help of detailed implementation advice, numerous code samples, and descriptions in UML. Provides an extensive, up-to-date catalog of security patterns Shares real-world case studies so you can see when and how to use security patterns in practice Details how to incorporate security from the conceptual stage Highlights tips on authentication, authorization, role-based access control, firewalls, wireless networks, middleware, VoIP, web services security, and more Author is well known and highly respected in the field of security and an expert on security patterns Security Patterns in Practice shows you how to confidently develop a secure system step by step.
Building Server-side and Microservices with Go
Develop and deploy efficient server-side applications and microservice architectures. KEY FEATURES ● Extensive examples of the Go programming language and REST concepts. ● Includes graphical illustrations and visual explanation of the microservice architecture. ● Graphs and visual explanation for Docker and Kubernetes commands. DESCRIPTION 'Building Server-side and Microservices with Go' teaches you the fundamentals of Go programming languages, REST server applications, and microservices. You can develop efficient server-side applications and use modern development concepts such as microservices after reading this book. We will create simple server-side applications and add new feature...
Mastering Probabilistic Graphical Models Using Python
Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python About This Book Gain in-depth knowledge of Probabilistic Graphical Models Model time-series problems using Dynamic Bayesian Networks A practical guide to help you apply PGMs to real-world problems Who This Book Is For If you are a researcher or a machine learning enthusiast, or are working in the data science field and have a basic idea of Bayesian Learning or Probabilistic Graphical Models, this book will help you to understand the details of Graphical Models and use it in your data science problems. This book will also help you select the appropriate model as well as the a...
Real World AI
How can you successfully deploy AI? When AI works, it's nothing short of brilliant, helping companies make or save tremendous amounts of money while delighting customers on an unprecedented scale. When it fails, the results can be devastating. Most AI models never make it out of testing, but those failures aren't random. This practical guide to deploying AI lays out a human-first, responsible approach that has seen more than three times the success rate when compared to the industry average. In Real World AI, Alyssa Simpson Rochwerger and Wilson Pang share dozens of AI stories from startups and global enterprises alike featuring personal experiences from people who have worked on global AI deployments that impact billions of people every day. AI for business doesn't have to be overwhelming. Real World AI uses plain language to walk you through an AI approach that you can feel confident about-for your business and for your customers.
Western Foundations of the Caste System
This book argues that the dominant descriptions of the ‘caste system’ are rooted in the Western Christian experience of India. Thus, caste studies tell us more about the West than about India. It further demonstrates the imperative to move beyond this scholarship in order to generate descriptions of Indian social reality. The dominant descriptions of the ‘caste system’ that we have today are results of originally Christian themes and questions. The authors of this collection show how this hypothesis can be applied beyond South Asia to the diasporic cultures that have made a home in Western countries, and how the inheritance of caste studies as structured by European scholarship impacts on our understanding of contemporary India and the Indians of the diaspora. This collection will be of interest to scholars and students of caste studies, India studies, religion in South Asia, postcolonial studies, history, anthropology and sociology.
Shivaji
'The epic text of Ranjit Desai's Shriman Yogi finds new voice in Vikrant Pande's nuanced translation, an immersive narrative of the foundations of the Maratha empire and the saga of its charismatic founder.' - Namita Gokhale. Young Shivaji reaches Pune, a dying fort city, with his mother Jijabai and lights the first lamp within its ruins. While his father Shahaji Bhosle is away on deputation by the Adil Shah sultanate after having failed in a revolt against it, Shivaji learns how an empire is built from the ground up. Thus begins the life of the Great Maratha. What awaits Shivaji is nothing short of the vast scroll of history, and it takes him from Surat to Thanjavur and all the way to Aurangzeb's durbar in Agra. He dreams of freeing his land from the clutches of Mughal rule, and though he suffers many defeats and personal losses along the way he never gives up his vision of Hindavi Swaraj. Amidst political intrigue and a chain of skirmishes, Shivaji becomes a leader, a warrior and a tactician par excellence, driven by immense pride and love for his motherland.
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AI and Machine Learning for Coders
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving
