wired - Natural Language Processing 6

Make sense of your data and predict the unpredictable Key Features\[\*\] A unique book that centers around develop six key practical skills needed to develop and implement predictive analytics\[\*\]……続きを見る

If you want to build an enterprise-quality application that uses natural language text but aren’t sure where to begin or what tools to use, this practical guide will help get you started. Alex Thoma……続きを見る

Get well-versed with traditional as well as modern natural language processing concepts and techniquesKey FeaturesPerform various NLP tasks to build linguistic applications using Python librariesUnd……続きを見る

This book provides descriptions and illustrations of cutting-edge text analysis methods for communication and marketing research; cultural, historical-comparative, and event analysis; curriculum eva……続きを見る

The dataset used in this project consists of student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social and school-related ……続きを見る

The project "Bank Loan Status Classification and Prediction Using Machine Learning with Python GUI" begins with data exploration, where the dataset containing information about bank loan applicants ……続きを見る

In this project, we embarked on a comprehensive journey of exploring the dataset and conducting analysis and predictions in the context of online retail. We began by examining the dataset and perfor……続きを見る

In the context of sentiment analysis and opinion mining, this project began with dataset exploration. The dataset, comprising user reviews or social media posts, was examined to understand the senti……続きを見る

This is a captivating book that delves into the intricacies of building a robust system for emotion detection in textual data. Throughout this immersive exploration, readers are introduced to the me……続きを見る

The dataset used in this project consists of the growth of supermarkets with high market competitions in most populated cities. The dataset is one of the historical sales of supermarket company whic……続きを見る

Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this bo……続きを見る

Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options……続きを見る

This step-by-step guide demonstrates how to build simple-to-advanced applications through examples in R using modern tools.Key Features\[\*\] Get a firm hold on the fundamentals of R through practic……続きを見る

The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial I……続きを見る

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing……続きを見る

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for ……続きを見る

Serverless computing is radically changing the way we build and deploy applications. With cloud providers running servers and managing machine resources, companies now can focus solely on the applic……続きを見る

Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system. With this practical guide, SAP veterans Greg Foss and Paul Modderman demonstrate ……続きを見る

The dataset used in this project has been sourced from the Machine Learning Repository of University of California, Irvine (UC Irvine): Travel Review Ratings Data Set. This dataset is populated by c……続きを見る

In the project "Airline Passenger Satisfaction Analysis and Prediction Using Machine Learning and Deep Learning with Python," the aim was to analyze and predict passenger satisfaction in the airline……続きを見る

Work through interesting real-life business use cases to uncover valuable insights from unstructured text using AWS AI services Key Features • Get to grips with AWS AI services for NLP and find out ……続きを見る

Create next-level AI assistants and transform how customers communicate with businesses with the power of natural language understanding and dialogue management using RasaKey FeaturesUnderstand the ……続きを見る

Implement TensorFlow\\'s offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projectsKey FeaturesUse machine learning and deep learnin……続きを見る

In this book, you will implement two data science projects using Scikit-Learn, Scipy, and other libraries with Python GUI. In chapter 1, you will learn how to use Scikit-Learn, Scipy, and other libr……続きを見る

With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) an……続きを見る

Concepts, tools, and techniques to explore deep learning architectures and methodologiesKey FeaturesExplore advanced deep learning architectures using various datasets and frameworksImplement deep a……続きを見る

Social media such as microblogging services and social networking sites are changing the way people interact online and search for information and opinions. This book investigates linguistic pattern……続きを見る

Learn step-by-step how to develop knowledge-based products for international use! Knowledge Organization and Classification in International Information Retrieval examines current efforts to deal wi……続きを見る

Mining Very Large Databases with Parallel Processing addresses the problem of large-scale data mining. It is an interdisciplinary text, describing advances in the integration of three computer scien……続きを見る

Learn advanced techniques to improve the performance and quality of your predictive modelsKey FeaturesUse ensemble methods to improve the performance of predictive analytics modelsImplement feature ……続きを見る