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Author: David Molden
Publisher: Pearson UK
ISBN: 0273745670
Category : Business & Economics
Languages : en
Pages : 179
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Book Description
With NLP you can achieve even greater success as a manager. Whether you need to improve your communication, develop your strategic planning or nurture your creative thinking, NLP gives you the tools to dramatically improve your performance as a manager or a leader. NLP has been used for years to help busy managers and leaders all over the world boost their communication skills and get the best out of their teams, time after time. Now it’s your turn to discover the most effective tool for managers on the planet. Inside you’ll discover how to: ̈ Develop trust, rapport and credibility with your team and clients ̈ Handle every managerial challenge effectively ̈ Develop long-lasting relationships that will take you and your team from strength to strength Now in its third edition How to Manage with NLP contains all the background, concepts and techniques you’ll ever need along with practical exercises to ensure you get develop a thorough grounding and understanding. Are you ready to be amazed and amazing? Read on! “This is a ‘must have’ book for any leader interested in improving their capabilities in engaging with people, teambuilding and managing change.” David R. Steele, Managing Director, International Paper Ireland “David Molden is a master of both NLP and management.” Wyatt Woodsmall PhD, The National Training Institute for NLP “An amazing array of essential topics with plenty of practical examples and applications of NLP to management and business.” Marvin Oka, NLP Master Trainer, The International NLP Trainers Association
Author: David Molden
Publisher: Pearson UK
ISBN: 0273745670
Category : Business & Economics
Languages : en
Pages : 179
Get Book Here
Book Description
With NLP you can achieve even greater success as a manager. Whether you need to improve your communication, develop your strategic planning or nurture your creative thinking, NLP gives you the tools to dramatically improve your performance as a manager or a leader. NLP has been used for years to help busy managers and leaders all over the world boost their communication skills and get the best out of their teams, time after time. Now it’s your turn to discover the most effective tool for managers on the planet. Inside you’ll discover how to: ̈ Develop trust, rapport and credibility with your team and clients ̈ Handle every managerial challenge effectively ̈ Develop long-lasting relationships that will take you and your team from strength to strength Now in its third edition How to Manage with NLP contains all the background, concepts and techniques you’ll ever need along with practical exercises to ensure you get develop a thorough grounding and understanding. Are you ready to be amazed and amazing? Read on! “This is a ‘must have’ book for any leader interested in improving their capabilities in engaging with people, teambuilding and managing change.” David R. Steele, Managing Director, International Paper Ireland “David Molden is a master of both NLP and management.” Wyatt Woodsmall PhD, The National Training Institute for NLP “An amazing array of essential topics with plenty of practical examples and applications of NLP to management and business.” Marvin Oka, NLP Master Trainer, The International NLP Trainers Association
Author: Jacob Bedrossian
Publisher: American Mathematical Society
ISBN: 1470472252
Category : Mathematics
Languages : en
Pages : 148
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Book Description
View the abstract.
Author: Reinier van den Biggelaar
Publisher: Van Haren
ISBN: 9401810583
Category : Architecture
Languages : en
Pages : 445
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Book Description
The AI Fundamentals courseware offers an AI training course designed for professionals in business or government environments who want to understand the benefits and applications of AI in their work environment. This course covers topics such as data management for AI, building and assessing AI applications, ethics and trustworthiness, and organizational success factors for enabling humans and machines to work together. The course addresses key questions such as “Where does Data Management end and AI application begin?” from a management perspective. Subjects covered include the applications and benefits of AI, data and robots, predictions and algorithms, machine and deep learning, building and reviewing AI applications, data management for AI, ethics and trustworthiness, organizational success factors for helping humans and machines work together, and the future of AI. This courseware educates for three certifications within it’s three-day combined program. It’s also possible to cut the material in pieces for a module teaching approach. The EXIN BCS Artificial Intelligence Essentials, testing the fundamental concepts of AI. This AI for Business and Government certification (the AI Brevet) which was established by the Netherlands AI Coalition (NL AIC) as a standard for professionals who want to use Artificial Intelligence. EXIN BCS Artificial Intelligence Foundation, which has a more IT-technical perspective.
Author: Dan Jurafsky
Publisher: Pearson Education India
ISBN: 9788131716724
Category :
Languages : en
Pages : 912
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Book Description
Author: Uday Kamath
Publisher: Springer
ISBN: 3030145964
Category : Computers
Languages : en
Pages : 640
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Book Description
This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.
Author: Ankur A. Patel
Publisher: "O'Reilly Media, Inc."
ISBN: 1492062529
Category : Computers
Languages : en
Pages : 330
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Book Description
NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP. With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension Train NLP models with performance comparable or superior to that of out-of-the-box systems Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production
Author: Maosong Sun
Publisher: Springer
ISBN: 3030017168
Category : Computers
Languages : en
Pages : 417
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Book Description
This book constitutes the proceedings of the 17th China National Conference on Computational Linguistics, CCL 2018, and the 6th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2018, held in Changsha, China, in October 2018. The 33 full papers presented in this volume were carefully reviewed and selected from 84 submissions. They are organized in topical sections named: Semantics; machine translation; knowledge graph and information extraction; linguistic resource annotation and evaluation; information retrieval and question answering; text classification and summarization; social computing and sentiment analysis; and NLP applications.
Author: Ashish Bansal
Publisher: Packt Publishing Ltd
ISBN: 1800201052
Category : Computers
Languages : en
Pages : 381
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Book Description
One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform real-world complicated tasks Key FeaturesApply deep learning algorithms and techniques such as BiLSTMS, CRFs, BPE and more using TensorFlow 2Explore applications like text generation, summarization, weakly supervised labelling and moreRead cutting edge material with seminal papers provided in the GitHub repository with full working codeBook Description Recently, there have been tremendous advances in NLP, and we are now moving from research labs into practical applications. This book comes with a perfect blend of both the theoretical and practical aspects of trending and complex NLP techniques. The book is focused on innovative applications in the field of NLP, language generation, and dialogue systems. It helps you apply the concepts of pre-processing text using techniques such as tokenization, parts of speech tagging, and lemmatization using popular libraries such as Stanford NLP and SpaCy. You will build Named Entity Recognition (NER) from scratch using Conditional Random Fields and Viterbi Decoding on top of RNNs. The book covers key emerging areas such as generating text for use in sentence completion and text summarization, bridging images and text by generating captions for images, and managing dialogue aspects of chatbots. You will learn how to apply transfer learning and fine-tuning using TensorFlow 2. Further, it covers practical techniques that can simplify the labelling of textual data. The book also has a working code that is adaptable to your use cases for each tech piece. By the end of the book, you will have an advanced knowledge of the tools, techniques and deep learning architecture used to solve complex NLP problems. What you will learnGrasp important pre-steps in building NLP applications like POS taggingUse transfer and weakly supervised learning using libraries like SnorkelDo sentiment analysis using BERTApply encoder-decoder NN architectures and beam search for summarizing textsUse Transformer models with attention to bring images and text togetherBuild apps that generate captions and answer questions about images using custom TransformersUse advanced TensorFlow techniques like learning rate annealing, custom layers, and custom loss functions to build the latest DeepNLP modelsWho this book is for This is not an introductory book and assumes the reader is familiar with basics of NLP and has fundamental Python skills, as well as basic knowledge of machine learning and undergraduate-level calculus and linear algebra. The readers who can benefit the most from this book include intermediate ML developers who are familiar with the basics of supervised learning and deep learning techniques and professionals who already use TensorFlow/Python for purposes such as data science, ML, research, analysis, etc.
Author: David Molden
Publisher: Pearson UK
ISBN: 0273745700
Category : Business & Economics
Languages : en
Pages : 265
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Book Description
Author: Frans Coenen
Publisher: Springer Nature
ISBN: 3031434714
Category : Computers
Languages : en
Pages : 368
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Book Description
This book constitutes the refereed proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2022, held in Valletta, Malta, during October 24–26, 2022. The 14 full papers included in this book were carefully reviewed and selected from 127 submissions. They were organized in topical sections as follows: Knowledge Discovery and Information Retrieval; Knowledge Engineering and Ontology Development; and Knowledge Management and Information Systems
