Learn how to redesign NLP applications from scratch. Key Features Get familiar with the basics of any Machine Learning or …
Deep learning methods are achieving state-of-the-art results on challenging machine learning problems such as describing photos and translating text from …
Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and …
Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic …
"Meaning is a fundamental concept in Natural Language Processing (NLP), in the tasks of both Natural Language Understanding (NLU) and …
Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural …
official instructor's manual for "Machine Learning for Text" (2017), directly obtained through www.springer.com website
With the help of engaging activities, learn how to leverage Amazon Web Services for building serverless intelligent applications that can …
Work with natural language tools and techniques to solve real-world problems. This book focuses on how natural language processing (NLP) …
This book provides readers with a practical guide to the principles of hybrid approaches to natural language processing (NLP) involving …
In Real-world Natural Language Processing you will learn how to: • Design, develop, and deploy useful NLP applications • Create …
Make NLP easy by building chatbots and models, and executing various NLP tasks to gain data-driven insights from raw text …
This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of …
Over the past decade, the Advanced Persistent Threat (APT) has risen to forefront of cybersecurity threats. APTs are a major …
One-stop solution for NLP practitioners, ML developers and data scientists to build effective NLP systems that can perform real-world complicated …
The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for …
Enhance your NLP proficiency with modern frameworks like LangChain, explore mathematical foundations and code samples, and gain expert insights into …
Anthony Robbins calls it the new science of personal achievement. You'll call it the best thing that ever happened to …
Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book …
About this BookThere is so much text in our lives, we are practically drowning in it. Fortunately, there are innovative …
Create your own natural language training corpus for machine learning. This example-driven book walks you through the annotation cycle, from …
Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural …
This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these …
This new textbook examines the motivations and the different algorithms for automatic document summarization (ADS). We performed a recent state …
Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems …
Get well-versed with traditional as well as modern natural language processing concepts and techniques Key Features Perform various NLP tasks …
This is an essential resource for beginners and experienced practitioners in machine learning. This comprehensive guide covers a broad spectrum …
