This book is an attempt to provide a guiding document about which factors to consider and how to go about the process of identifying the right American universities for you.
Is this the right university and graduate program to apply; and then go to? This is the most important question to ask and answer - as students make the considerations. This book is an attempt to provide a guiding document about which factors to consider and how to go about the process of identifying the right universities for you.
This book is an attempt to provide a guiding document about which factors to consider and how to go about the process of identifying the right American universities for you.
Is this the right university and graduate program to apply; and then go to? This is the most important question to ask and answer - as students make the considerations. This book is an attempt to provide a guiding document about which factors to consider and how to go about the process of identifying the right universities for you.
Based on empirical research, this book shows how public interest litigation (PIL) grants the appellate courts enormous flexibility in procedure, allowing them to manoeuvre themselves into positions of overweening authority. While PIL cases are usually politically analysed solely in terms of their effects, whether beneficial or disastrous, this book locates the political challenges that PIL poses in its very process, arguing that its fundamentally protean nature stems from its mimicry of ideas of popular justice. It examines PIL as part of a larger trend towards legal informalism in post-Emergency India. Casting a critical eye over these institutional reforms that aimed to adapt the colonial legal inheritance to 'Indian realities', this book looks at the challenges posed by self-consciously culturalist juridical innovations like PIL to ideas of fairness in adjudication, as well as democratic politics.
Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective
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