Follow a step-by-step, hands-on approach to building production-ready enterprise cognitive virtual assistants using Google Dialogflow. This book provides an overview of the various cognitive technology choices available and takes a deep dive into cognitive virtual agents for handling complex real-life use cases in various industries such as travel and weather. You'll delve deeper into the advanced features of cognitive virtual assistants implementing features such as input/output context, follow-up intents, actions and parameters, and handling complex multiple intents. You'll learn how to integrate with third-party messaging platforms by integrating your cognitive bot with Facebook messenger. You'll also integrate with third-party APIs to enrich your cognitive bots using webhooks. Cognitive Virtual Assistants Using Google Dialogflow takes the complexity out of the cognitive platform and provides rich guidance which you can use when developing your own cognitive bots. The book covers Google Dialogflow in-depth and starts with the basics, serving as a hands-on guide for developers who are starting out on their journey with Google Dialogflow. All the code presented in the book will be available in the form of scripts and configuration files, which allows you to try out the examples and extend them in interesting ways. What You Will Learn <ul> <li>Develop cognitive bots with Google Dialogflow technology</li> <li>Use advanced features to handle complex conversation scenarios</li> <li>Enrich the bot's conversations by understanding the sentiment of the user</li> <li>See best practices for developing cognitive bots</li> <li>Enhance a cognitive bot by integrating with third-party services</li> </ul> Who This Book Is For AI and ML developers.

Cognitive Virtual Assistants Using Google Dialogflow: Develop Complex Cognitive Bots Using the Google Dialogflow Platform

Computers & Technology

Sabharwal, Navin

Agrawal, Amit

Computer Science

Apress

<div> Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning. The book begins with an overview of the technology landscape behind BERT. It takes you through the basics of NLP, including natural language understanding with tokenization, stemming, and lemmatization, and bag of words. Next, you'll look at neural networks for NLP starting with its variants such as recurrent neural networks, encoders and decoders, bi-directional encoders and decoders, and transformer models. Along the way, you'll cover word embedding and their types along with the basics of BERT. After this solid foundation, you'll be ready to take a deep dive into BERT algorithms such as masked language models and next sentence prediction. You'll see different BERT variations followed by a hands-on example of a question answering system. Hands-on Question Answering Systems with BERT is a good starting point for developers and data scientists who want to develop and design NLP systems using BERT. It provides step-by-step guidance for using BERT. What You Will Learn <ul> <li>Examine the fundamentals of word embeddings</li> <li>Apply neural networks and BERT for various NLP tasks</li> <li style="list-style: none">Develop a question-answering system from scratch</li> <li>Train question-answering systems for your own data</li> </ul> Who This Book Is For AI and machine learning developers and natural language processing developers. </div>

Hands-on Question Answering Systems with BERT: Applications in Neural Networks and Natural Language Processing

Tracheostomy is one of the simplest, most valuable operations in surgical practice. In tracheostomy an opening is made in the anterior wall of the trachea and this opening is used for insufflation of oxygen- air mixture into the lungs. A tracheostomy may be performed on an emergency or elective basis; it may be a temporary or a permanent one. Over the past several years the indications for a tracheostomy have radically evolved. Earlier tracheostomies were mostly done to relieve an upper airway obstruction; now tracheostomies are mostly done in critical care settings to facilitate mechanical ventilation. Open surgical tracheostomy (OST) is usually done in an operation theatre. A detailed description is given in the relevant chapter of the book, but a certain salient point needs to be emphasized here. First and foremost, neck anatomy is to be clearly defined and structures should be identified, as most of the complications occur when the surgeon deviates from the midline. Percutaneous tracheostomy (PCT) has certain distinct advantages over open surgical tracheostomy (OST); PCT is faster to perform, easier to learn and can be performed at the point of care. In most adult ICU patients, a percutaneous tracheostomy (PCT) is the preferred technique unless contraindicated. Compared to surgical tracheostomy it leads to significantly lesser wound infections, but it is associated with a higher rate of accidental decannulation and obstruction. Use of real time ultrasonography while performing percutaneous tracheostomy has also helped in better identification of tracheal rings and hence in improving its safety for obese patients. Tracheostomies are usually straightforward, but complications still occur, often due to improper technique. Complications may be due to structural damage to vital structures of the neck leading to hemorrhage, tracheal damage, esophageal damage, failure to proceed, air embolism, aspiration, hypoxemia, tube misplacement, pneumothorax, tracheal stenosis, trachea-arterial and trachea-esophageal fistula. This book encompasses many clinically relevant scenarios in which a tracheostomy may be needed. However, certain situations demand special expertise; tracheostomy in pregnancy is one such situation. The aim of this book is to apprise readers with all the practical aspects of tracheostomy from patient's selection to tracheostomy in special situations.

Tracheostomy: Indications, Safety and Outcomes

Medical Books

Medicine

Nova Science Pub Inc

Rehabilitation in Neurotrauma: Current Concepts, Practices and Recommendations

Jain, Gaurav

Sinha, V. D.

Chakraborty, Amit

Bajaj, Jitin

Neurosurgery Research: An Update

Raj, Sumit

Chouksey, Pradeep

Shrivastava, Adesh

Mishra, Rakesh

Learn how to work towards making the most out of a career in emerging tech\nKey Features Understand the core concepts related to careers in emerging tech. Learn innovative, exclusive, and exciting ways to design a successful career in ET. Reduce your learning curve by examining the career trajectories of eminent ET professionals. Ways to evolve and adapt to changing ET paradigms. Practical perspective from the field. 
Description 
Cracking the emerging tech code will help you attain your Emerging Technology (ET) career goals faster without spending years in committing avoidable mistakes, recovering from them, and learning things the hard way. You can apply practical tips in areas such as improving your ability to craft market-friendly use cases and evolving a solution approach in new and diverse tech or business environments, to propel forward your career in strategic and proactive ways.It outlines ways in which you can explore and capitalize on hidden opportunities while working on important career aspects. The anecdotes and solutions provided will aid you in getting an inside out view to reduce your learning curve. This book will help you in gaining both magnitude and direction in your ET career journey and prevent you from getting overwhelmed or pinned down by the forces of ET.Authored by an ET professional, this book will take you through a series of steps to deepen your understanding of the forces that shape one’s ET career and successfully dealing with them.It also helps bust myths, addresses fallacies, and common misconceptions that could harm one’s career prospects. There are also practical and easy-to-adopt tips, methods, tracking mechanisms, and information that will improve career standing and professional growth.This book makes it easy for you to enhance your employability and job market relevance so that you can sprint towards a rewarding career.\nWhat will you learn 
Through this book, you will connect with ways and means to build a strong and rewarding emerging tech career. You will be able to work on identifying the right technology and employer, enhancing employability and differentiation in the job market, addressing challenges and connecting with enablers, accurate growth strategies and execution principles.\nWho this book is for 
This book is for current and aspiring emerging tech professionals, students, and anyone who wishes to understand ways to have a fulfilling career in emerging technologies such as AI, blockchain, cybersecurity, IoT, space tech, and more.\nTable of Contents 
1. Introduction2. The best ET for me and some myth bursting3. Getting prepared and charting a roadmap4. Identifying the requirements and getting help5. Dealing with headwinds and drawing a career change action plan6. Building an ET friendly résumé and finding the right employer7. Getting hired through social media8. Job search9. Impressing the emerging tech jury10. The secret sauce11. Becoming a thought leader12. Measuring success and making course corrections13. Drawing the two-year plan14. Building your leadership capabilities15. To start-up or not?16. Communications skills: getting it right17. Building a personal brand18. Post-scriptAbout the Authors 
Prayukth has been actively involved in productizing and promoting cross eco-system collaboration in the IoT space for over half-a-decade. In recent years, he has focused on exposing APT groups, global footprint, and in evaluating the evolving threat landscape surrounding IoT and OT environments. In his current role, he has taken Subex’s IoT business to new geographies. Your Linkedin profile: https://www.linkedin.com/in/prayukthkv/

Up and Running Google AutoML and AI Platform: Building Machine Learning and NLP Models Using AutoML and AI Platform for Production Environment

BPB Publications

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Books by Agrawal, Amit