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Author: Peter Parkes
Publisher: BCS, The Chartered Institute
ISBN: 1780170882
Category : Business & Economics
Languages : en
Pages : 244
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Book Description
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: Peter Parkes
Publisher: BCS, The Chartered Institute
ISBN: 1780170882
Category : Business & Economics
Languages : en
Pages : 244
Get Book Here
Book Description
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:
Publisher:
ISBN:
Category :
Languages : de
Pages :
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Book Description
Author: Bruno Daniotti
Publisher: Springer Nature
ISBN: 3030335704
Category : Building
Languages : en
Pages : 400
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Book Description
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: Paul Boudreau
Publisher:
ISBN: 9781687550941
Category :
Languages : en
Pages : 184
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Book Description
Author Paul Boudreau shares the keys to project management success using a modern approach: artificial intelligence. Within the pages of Applying Artificial Intelligence to Project Management, Boudreau describes five AI tools in concept and how they apply directly to project success, as well as the strategy and method to use to purchase and implement AI tools for project management. 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. Read project management success stories in one of the best business books on machine learning, and prepare to leave behind that 50 percent project success rate for one that's 95 percent or higher.
Author: Jerry Manas
Publisher: Thomas Nelson Inc
ISBN: 078521285X
Category : Business planning
Languages : en
Pages : 235
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Book Description
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: Avery Harrison
Publisher: Enlighten Publications
ISBN:
Category : Architecture
Languages : en
Pages : 192
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Book Description
"Revolutionizing Project Management: Harnessing the Power of Artificial Intelligence" is a cutting-edge guide designed to help project managers, professionals, and enthusiasts navigate the rapidly evolving landscape of AI-driven project management. As the world becomes increasingly interconnected and technology continues to advance at an unprecedented pace, artificial intelligence has emerged as a game-changing force capable of transforming project management practices and empowering professionals to achieve greater success. In this comprehensive book, you'll discover the potential of AI to revolutionize project management across various domains, from intelligent project scoping and resource allocation to AI-powered risk analysis and mitigation. We start by laying a solid foundation, introducing you to the concepts of artificial intelligence, its history, and its relevance to project management. As we progress through the chapters, we'll uncover the myriad ways AI can optimize project management processes, enhance team communication, and drive better decision-making within project teams. Key topics covered in the book include: The fundamental concepts of artificial intelligence, its history, and its relevance to project management. The evolution of project management, traditional vs. modern approaches, and the role of technology in shaping the discipline. The intersection of AI and project management, exploring opportunities, challenges, and the impact of AI on project management functions. AI-driven techniques for intelligent project scoping, optimal resource allocation, and risk analysis and mitigation. The critical role AI plays in enhancing team communication, collaboration, and conflict resolution, including AI-assisted meeting scheduling and management, natural language processing, and sentiment analysis. The ethical considerations surrounding AI in project management, including data privacy, security, and the potential implications of AI-driven decision-making on human employment. Practical guidance on how to integrate AI into your project management practices, identifying the essential steps for successful AI implementation and offering real-life case studies and examples to illustrate the transformative power of AI in project management. With its in-depth exploration of AI's transformative potential and practical guidance on integrating AI into project management practices, "Revolutionizing Project Management: Harnessing the Power of Artificial Intelligence" is an indispensable resource for project managers and professionals seeking to stay ahead of the curve in an increasingly competitive and technologically advanced world. Whether you are a seasoned project manager or just beginning your journey in the world of project management, this book aims to equip you with the knowledge and insights necessary to harness the full potential of AI and revolutionize the way you manage projects. Don't miss the opportunity to explore how AI can elevate your project management skills and deliver exceptional results in this fast-paced, technology-driven era. Order your copy today and embark on this exciting journey into the future of project management.
Author: Jalaj Thanaki
Publisher: Packt Publishing Ltd
ISBN: 1787285529
Category : Computers
Languages : en
Pages : 476
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Book Description
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: Joseph O'Connor
Publisher: Red Wheel/Weiser
ISBN: 1590035186
Category : Psychology
Languages : en
Pages : 306
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Book Description
Neuro-Linguistic Programming (NLP) studies brilliance and quality--how outstanding individuals and organizations get their outstanding results. Joseph O'Conner, a leading international NLP trainer and co-author of the bestselling Introducing NLP, offers a step-by-step guide to learning the NLP methods and techniques to help you become the person you want to be in the NLP Workbook. The NLP Workbook is a complete guide to NLP that includes: How to create and achieve outcomes How to choose your emotional state and shift thinking Meta modeling your own internal dialogue All of the basic NLP techniques and training exercises An Action Plan with exercises and suggestions for skill-building O'Conner discusses a range of topics from rapport and trust, and how to visualize, to negotiation skills, mental rehearsal and coaching. NLP Workbook is a book for everyone and anyone interested in NLP. The neophyte will find definitions, examples, and a step-by-step entry into learning how to use NLP, and trainers will discover many new ideas for NLP training.
Author: Judith E Pearson
Publisher: Crown House Publishing
ISBN: 1845908759
Category : Self-Help
Languages : en
Pages : 176
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Book Description
The secret to great writing lies in learning how to alternate between three mindsets: Dreamer, Realist and Critic. The author will tell you exactly how to get into each mindset and how to apply it. This book will teach you the NLP models for creativity, tenacity and meticulous attention to detail. Read this book and you'll know how to write persuasively, hypnotically and prolifically.
Author: Sowmya Vajjala
Publisher: O'Reilly Media
ISBN: 149205402X
Category : Computers
Languages : en
Pages : 455
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Book Description
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
