Author : Peter Parkes
Publisher : BCS, The Chartered Institute
Page : 244 pages
File Size : 16,45 MB
Release : 2011-03-14
Category : Business & Economics
ISBN : 1780170882
Project management is becoming less about managing tools and processes and more about delivering through people. This is the only book on Neurolinguistic Programming written specifically for project managers. It will equip them to communicate across cultures, resolve conflicts, motivate teams and become better leaders.
Author : Paul Boudreau
Publisher : Stylus Publishing, LLC
Page : 318 pages
File Size : 45,95 MB
Release : 2024-10-10
Category : Business & Economics
ISBN : 1501519409
This book describes the AI tools in concept and how they apply directly to project success. It also demonstrates the strategy and methods used to purchase and implement AI tools for project management. You will understand the difference between automating a task and changing it by using AI. Discover how AI uses data and the importance of data maintenance. Learn why projects fail and how using artificial intelligence for project management improves project success rates. The book features project management success stories and demonstrates how to leave behind that low project success rate for one that is 95 percent or higher. Supplemental teaching materials are available for use as a textbook. FEATURES: Covers a practical approach to using AI in project management Features a chapter on combining AI with other technologies such as IoT, Blockchain, and virtual reality for further insights into leading-edge changes for project management Demonstrates how to achieve higher productivity and incredible project performance by applying AI concepts Includes supplemental teaching materials for use as a textbook
Author : Bruno Daniotti
Publisher : Springer Nature
Page : 391 pages
File Size : 34,15 MB
Release : 2019-12-30
Category : Technology & Engineering
ISBN : 3030335704
This open access book focuses on the development of methods, interoperable and integrated ICT tools, and survey techniques for optimal management of the building process. The construction sector is facing an increasing demand for major innovations in terms of digital dematerialization and technologies such as the Internet of Things, big data, advanced manufacturing, robotics, 3D printing, blockchain technologies and artificial intelligence. The demand for simplification and transparency in information management and for the rationalization and optimization of very fragmented and splintered processes is a key driver for digitization. The book describes the contribution of the ABC Department of the Polytechnic University of Milan (Politecnico di Milano) to R&D activities regarding methods and ICT tools for the interoperable management of the different phases of the building process, including design, construction, and management. Informative case studies complement the theoretical discussion. The book will be of interest to all stakeholders in the building process – owners, designers, constructors, and faculty managers – as well as the research sector.
Author : Sowmya Vajjala
Publisher : O'Reilly Media
Page : 455 pages
File Size : 38,13 MB
Release : 2020-06-17
Category : Computers
ISBN : 149205402X
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
Author : Jerry Manas
Publisher : Thomas Nelson Inc
Page : 241 pages
File Size : 35,81 MB
Release : 2006
Category : Business & Economics
ISBN : 078521285X
What is it about Napoleon Bonaparte that has led recognized leaders such as General George S. Patton to study his principles-and countless books on management and leadership to quote his maxims? What lessons can today's project managers and leaders learn from Napoleon's successes and failures? "Napoleon on Project Management" explores the key principles behind Napoleon's successes, the triggers that led to his downfall, and the lessons to be learned from his ultimate demise-and applies these lessons to modern-day project management and leadership at all levels.
Author : Steven Bird
Publisher : "O'Reilly Media, Inc."
Page : 506 pages
File Size : 25,17 MB
Release : 2009-06-12
Category : Computers
ISBN : 0596555717
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.
Author : Jalaj Thanaki
Publisher : Packt Publishing Ltd
Page : 476 pages
File Size : 41,7 MB
Release : 2017-07-31
Category : Computers
ISBN : 1787285529
Leverage the power of machine learning and deep learning to extract information from text data About This Book Implement Machine Learning and Deep Learning techniques for efficient natural language processing Get started with NLTK and implement NLP in your applications with ease Understand and interpret human languages with the power of text analysis via Python Who This Book Is For This book is intended for Python developers who wish to start with natural language processing and want to make their applications smarter by implementing NLP in them. What You Will Learn Focus on Python programming paradigms, which are used to develop NLP applications Understand corpus analysis and different types of data attribute. Learn NLP using Python libraries such as NLTK, Polyglot, SpaCy, Standford CoreNLP and so on Learn about Features Extraction and Feature selection as part of Features Engineering. Explore the advantages of vectorization in Deep Learning. Get a better understanding of the architecture of a rule-based system. Optimize and fine-tune Supervised and Unsupervised Machine Learning algorithms for NLP problems. Identify Deep Learning techniques for Natural Language Processing and Natural Language Generation problems. In Detail This book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based expert system with advantages such as Community support, availability of frameworks and so on. Later it gives you a better understanding of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural language processing applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will also learn how to tokenize different parts of sentences and ways to analyze them. During the course of the book, you will explore the semantic as well as syntactic analysis of text. You will understand how to solve various ambiguities in processing human language and will come across various scenarios while performing text analysis. You will learn the very basics of getting the environment ready for natural language processing, move on to the initial setup, and then quickly understand sentences and language parts. You will learn the power of Machine Learning and Deep Learning to extract information from text data. By the end of the book, you will have a clear understanding of natural language processing and will have worked on multiple examples that implement NLP in the real world. Style and approach This book teaches the readers various aspects of natural language Processing using NLTK. It takes the reader from the basic to advance level in a smooth way.
Author : Ekaterina Kochmar
Publisher : Simon and Schuster
Page : 454 pages
File Size : 17,22 MB
Release : 2022-11-15
Category : Computers
ISBN : 1638350922
Hit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak human. In Getting Started with Natural Language Processing you’ll learn about: Fundamental concepts and algorithms of NLP Useful Python libraries for NLP Building a search algorithm Extracting information from raw text Predicting sentiment of an input text Author profiling Topic labeling Named entity recognition Getting Started with Natural Language Processing is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. If you’re a beginner to NLP and want to upgrade your applications with functions and features like information extraction, user profiling, and automatic topic labeling, this is the book for you. About the technology From smart speakers to customer service chatbots, apps that understand text and speech are everywhere. Natural language processing, or NLP, is the key to this powerful form of human/computer interaction. And a new generation of tools and techniques make it easier than ever to get started with NLP! About the book Getting Started with Natural Language Processing teaches you how to upgrade user-facing applications with text and speech-based features. From the accessible explanations and hands-on examples in this book you’ll learn how to apply NLP to sentiment analysis, user profiling, and much more. As you go, each new project builds on what you’ve previously learned, introducing new concepts and skills. Handy diagrams and intuitive Python code samples make it easy to get started—even if you have no background in machine learning! What's inside Fundamental concepts and algorithms of NLP Extracting information from raw text Useful Python libraries Topic labeling Building a search algorithm About the reader You’ll need basic Python skills. No experience with NLP required. About the author Ekaterina Kochmar is a lecturer at the Department of Computer Science of the University of Bath, where she is part of the AI research group. Table of Contents 1 Introduction 2 Your first NLP example 3 Introduction to information search 4 Information extraction 5 Author profiling as a machine-learning task 6 Linguistic feature engineering for author profiling 7 Your first sentiment analyzer using sentiment lexicons 8 Sentiment analysis with a data-driven approach 9 Topic analysis 10 Topic modeling 11 Named-entity recognition
Author : Rick A. MORRIS
Publisher : AMACOM Div American Mgmt Assn
Page : 241 pages
File Size : 12,57 MB
Release : 2008-08-18
Category : Business & Economics
ISBN : 081441088X
Project management is one of the fastest-growing occupations in the world. The Project Management Institute has seen membership growth of more than 1000% in the last 10 years. But while many of these managers know how to plan a successful project in theory, very few have the practical tools needed to navigate the politics of today’s corporate world. Project managers need more than just technical skills; they need the right communication skills to succeed. Filled with real-world examples, Project Management That Works gives readers the tools they need to: communicate with their team as well as stakeholders • get their teams to function well • run fewer and more productive meetings • turn around failing projects • utilize data properly to make emotional conversations unemotional • know when a project is really done The only book that addresses the real challenges project managers face today, this is an accessible and invaluable tool that will show every reader how to accomplish his mission—no matter the obstacles.
Author : Sue Knight
Publisher : Nicholas Brealey
Page : 487 pages
File Size : 46,35 MB
Release : 2010-11-26
Category : Self-Help
ISBN : 1473644852
This major new edition of Sue Knight's bestselling book NLP at Work has been extensively revised and updated, with an emphasis on the heart of NLP - becoming a model of excellence. In addition to a new slant to every chapter, there are three new chapters on the key things that make the biggest difference for the greatest results: Humour: enabling you to stand back and see things from a different perspective Clean questions: minimising yourself to find out the essence of the other person Time: understanding how what you get in life is influenced by your relationship to time past, present and future NLP at Work has sold over 100,000 copies and is one of the most popular books ever published on the practical skills of NLP and how it can be applied in business. It transformed NLP from a peripheral art into an accessible, practical concept with relevant applications in the areas of influence, communication, negotiation, teamwork and coaching. Clear, readable and jargon free, this book will help you get to the essence of what makes you and your business excellent and unique.
