Garbage In Garbage Out
Download Garbage In Garbage Out PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Garbage In Garbage Out book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Natural Language Processing and Computational Linguistics
Author: Bhargav Srinivasa-Desikan
language: en
Publisher: Packt Publishing Ltd
Release Date: 2018-06-29
Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms. Key Features Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and Keras Hands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms Learn deep learning techniques for text analysis Book Description Modern text analysis is now very accessible using Python and open source tools, so discover how you can now perform modern text analysis in this era of textual data. This book shows you how to use natural language processing, and computational linguistics algorithms, to make inferences and gain insights about data you have. These algorithms are based on statistical machine learning and artificial intelligence techniques. The tools to work with these algorithms are available to you right now - with Python, and tools like Gensim and spaCy. You'll start by learning about data cleaning, and then how to perform computational linguistics from first concepts. You're then ready to explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to tag, parse, and model text using the best tools. You'll gain hands-on knowledge of the best frameworks to use, and you'll know when to choose a tool like Gensim for topic models, and when to work with Keras for deep learning. This book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics. You'll discover the rich ecosystem of Python tools you have available to conduct NLP - and enter the interesting world of modern text analysis. What you will learn Why text analysis is important in our modern age Understand NLP terminology and get to know the Python tools and datasets Learn how to pre-process and clean textual data Convert textual data into vector space representations Using spaCy to process text Train your own NLP models for computational linguistics Use statistical learning and Topic Modeling algorithms for text, using Gensim and scikit-learn Employ deep learning techniques for text analysis using Keras Who this book is for This book is for you if you want to dive in, hands-first, into the interesting world of text analysis and NLP, and you're ready to work with the rich Python ecosystem of tools and datasets waiting for you!
Outsmart Waste
Author: Tom Szaky
language: en
Publisher: Berrett-Koehler Publishers
Release Date: 2014-01-14
Ever-expanding landfills, ocean gyres filled with floating plastic mush, endangered wildlife. Our garbage has become a massive and exponentially growing problem in modern society. Eco-entrepreneur Tom Szaky explores why this crisis exists and explains how can we solve it by eliminating the very idea of garbage. To outsmart waste, he says, we first have to understand it, then change how we create it, and finally rethink what we do with it. By mimicking nature and focusing on the value inherent in our by-products, we can transform the waste we can't avoid creating from useless trash to a useful resource. Szaky demonstrates that there is value in every kind of garbage, from used chewing gum to juice pouches to cigarette butts. After reading this mind-expanding book, you will never think about garbage the same way again.
Beijing Garbage
Why do central and local government initiatives aiming to curb the proliferation of garbage in Beijing and its disposal continue to be unsuccessful? Is the Uberization of waste picking through online-to-offline (O2O) garbage retrieval companies able to decrease waste and improve the lives of waste pickers? Most citizens of Beijing are well aware of the fact that their city is besieged by waste. Yet instead of taking individual action, they sit and wait for the governments at various levels to tell them what to do. And even if/when they adopt a proactive position, this does not last. Official education drives targeting the consumers are organized regularly and with modest success, but real solutions are not forthcoming. Various environmental non-governmental organizations are at work to raise the level of consciousness of the population, to change individual attitudes towards wasteful behavior, but seemingly with little overall effects.