Anil Kumar Pandey Huawei

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Practical Natural Language Processing

Author: Sowmya Vajjala
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2020-06-17
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
Printable Mesoscopic Perovskite Solar Cells

Printable Mesoscopic Perovskite Solar Cells A comprehensive exploration of printable perovskite solar cells and their potential for commercialization In Printable Mesoscopic Perovskite Solar Cells, a team of distinguished researchers delivers an accessible and incisive discussion of the principles, technologies, and fabrication processes associated with the manufacture and use of perovskite solar cells. The authors detail the properties, characterization methods, and technologies for halide perovskite materials and devices and explain printable processing technologies, mesoscopic anode and cathodes, and spacer layers for printable perovskite solar cells. In the book, you’ll find expansive discussions of the stability issues inherent in perovskite solar cells and explore the potential for scaling and commercializing the printing of perovskite solar cells, complete with real-world industry data. Readers will also find: A thorough introduction to the background and fundamentals of perovskite solar cells Comprehensive explorations of the characterization methods and technologies used with halide perovskite materials and devices Practical discussions of printable processing technologies for perovskite solar cells Fulsome treatments of the stability issues associated with perovskite solar cells and potential solutions for them Perfect for materials scientists, solid state physicists and chemists, and electronics engineers, Printable Mesoscopic Perovskite Solar Cells will also benefit surface chemists and physicists.
Data Science and Analytics

This two-volume set (CCIS 1229 and CCIS 1230) constitutes the refereed proceedings of the 5th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2019, held in Gurugram, India, in November 2019. The 74 revised full papers presented were carefully reviewed and selected from total 353 submissions. The papers are organized in topical sections on data centric programming; next generation computing; social and web analytics; security in data science analytics; big data analytics.