We are entering the age of conversational interfaces, where we will interact with AI bots using chat and voice. But how do we create a good conversation? How do we design and build voicebots and chatbots that can carry successful conversations in in the real world?
In this book, Rachel Batish introduces us to the world of conversational applications, bots and AI. You’ll discover how - with little technical knowledge - you can build successful and meaningful conversational UIs. You’ll find detailed guidance on how to build and deploy bots on the leading conversational platforms, including Amazon Alexa, Google Home, and Facebook Messenger.
You’ll then learn key design aspects for building conversational UIs that will really succeed and shine in front of humans. You’ll discover how your AI bots can become part of a meaningful conversation with humans, using techniques such as persona shaping, and tone analysis.
For successful bots in the real world, you’ll explore important use-cases and examples where humans interact with bots. With examples across finance, travel, and e-commerce, you’ll see how you can create successful conversational UIs in any sector.
Expand your horizons further as Rachel shares with you her insights into cutting-edge voicebot and chatbot technologies, and how the future might unfold. Join in right now and start building successful, high impact bots!What you will learn
The 15 full papers presented in this volume were carefully reviewed and selected from 40 submissions. They were organized in topical sections named: speech synthesis and spoken language generation; speech recognition and post-processing; natural language processing and understanding; and text processing and analysis.
Technical Challenges and Design Issues in Bangla Language Processing addresses the difficulties as well as the overwhelming benefits associated with creating programs and devices that are accessible to the speakers of the Bangla language. Professionals, students, and researchers interested in expanding the fields of computing, information and knowledge management, and communication technologies in the non-English realm will benefit from this comprehensive collection of research.
Thus a nationwide research project was conceived and started in 1987 as one of the first Priority Research Areas supported by the Ministry of Education, Science and Culture of Japan. The
project was carried out in collaboration with over 190 researchers in Japan.
The present volume begins with an overview of the project, followed by 41 papers presented at the symposia. This work is expected to serve as an important source of information on each of the nine topics adopted for intensive study under the project.
This book will serve as a guideline for further work in the important scientific and technological field of spoken language processing.
Siri is the unique iPhone “personal assistant” with amazing voice-recognition capabilities. Siri understands natural, informal speech like no non-human device has ever done before. Your grammar can be totally deficient, but Siri will almost always understand what you mean!
Now, Life With Siri provides you with an awesome guide to getting the most fun and usefulness from Siri. This new 2nd Edition (published in January 2012) includes:
- More than 50 screenshots of the questions that evoke the FUNNIEST SIRI ANSWERS
- More than 50 screenshots of the BEST SIRI TIPS, including the way to have Siri send Tweets and post on Facebook
- A comprehensive guide to SIRI PUNCTUATION COMMANDS
- A comprehensive list of ALL THE THINGS SIRI CAN DO FOR YOU
Author Jodi Dery expresses great pride in this new eBook. She says, “We feel that presenting Siri’s responses in this illustrative manner -- with maximum use of screenshots and no more text than necessary -- will help people remember the best questions to ask Siri and the best way to get useful results.” In fact, this eBook has many more screenshots, with less text to plow through, than any other eBook relating to Siri.
Yes, Siri is the new girl in town. She’s a dynamo. She’s a comedienne. Siri’s hilarious responses continue to surprise people and make them laugh. For example, when someone asks Siri “where do babies come from” she usually responds with, “I found some baby stores three blocks down the road.” Then knowing your location, she lists the names and addresses of those stores. Siri's answers to “What is the meaning of life” are choice. She might respond with, “I find it odd that you would ask this of an inanimate object” or any one of 10 other funny responses to this seminal question. This unique eBook also contains screenshots of more than 50 other questions you can ask her to evoke funny answers and entertain your friends.
Siri is a barrel of fun, but that’s not all. She’s full of smarts. Siri can do all of these things and more for you:
- NEW –Communicate with Twitter and Facebook
- NEW –Tell you where a friend is at this moment
- NEW –Tell you the correct relationship of a relative
- NEW –Tell you the flight numbers and paths of planes you see in the sky
- NEW –Identify the constellations that are visible tonight
- Address you by whatever name you choose. (including any wild nickname).
- Add appointments and events to your calendar.
- Remind you of anything at any time you specify.
- Transcribe spoken notes to written reminders.
- Transcribe spoken messages into text messages or email.
- Tell you exactly where you are, based on the built-in GPS.
- Find nearby taxi services and call you a taxi.
- Sound an alarm at any time you specify.
- Initiate a voice or video phone call.
- Find the nearest gas station or any other type of business.
- Find well-rated nearby restaurants for any cuisine you prefer.
- Control your music player by your voice commands.
- Start playing whatever music on your playlist that you ask for.
- Add and remove items from your shopping list.
- Calculate any spoken numbers and do all kinds of conversions.
- Tell you when the sunrise, sunset or moonrise is due on any day.
- Check your emails and read them to you.
- Give you the current weather or forecast for any city in the world.
- Give you the current outside temperature and wind conditions.
- Tell you how the stock market is doing today.
- Tell you the current trading price for any American stock or commodities.
- Tell you what the local time is anywhere in the world.
- Function as an accurate count-down or count-up timer.
- Tell you where a particular movie is playing locally.
- Tell you the date and/.or day that a particular holiday will fall on in any year.
- Remind you when you have to be somewhere.
- Allow you to add precise punctuation with voice commands.
- Invite or inform multiple people you select of anything.
- Locate any information from the Internet, Wikipedia or WolframAlpha
- And many other useful things illustrated in the Life with Siri eBook
If you are interested in only The 50 Best Tips or only The 50 Funniest Siri Answers, separate eBooks with just those sections are now available. But, the complete Life for Siri eBook contains all of those Tips and Answers with more than 100 screenshots, plus two bonus sections, and it is now available. A truly remarkable value.
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.Explore the machine learning landscape, particularly neural netsUse scikit-learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural netsApply practical code examples without acquiring excessive machine learning theory or algorithm details
If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data.What You Will LearnUnderstand the key frameworks in data science, machine learning, and deep learningHarness the power of the latest Python open source libraries in machine learningExplore machine learning techniques using challenging real-world dataMaster deep neural network implementation using the TensorFlow libraryLearn the mechanics of classification algorithms to implement the best tool for the jobPredict continuous target outcomes using regression analysisUncover hidden patterns and structures in data with clusteringDelve deeper into textual and social media data using sentiment analysisIn Detail
Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.
Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library.
Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you'll be ready to meet the new data analysis opportunities in today's world.
If you've read the first edition of this book, you'll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You'll be able to learn and work with TensorFlow more deeply than ever before, and get essential coverage of the Keras neural network library, along with the most recent updates to scikit-learn.Style and Approach
Python Machine Learning Second Edition takes a practical, hands-on coding approach so you can learn about machine learning by coding with Python. This book moves fluently between the theoretical principles of machine learning and the practical details of implementation with Python.
TensorFlow is one of the most popular frameworks used for machine learning and, more recently, deep learning. It provides a fast and efficient framework for training different kinds of deep learning models, with very high accuracy. This book is your guide to master deep learning with TensorFlow with the help of 10 real-world projects.
TensorFlow Deep Learning Projects starts with setting up the right TensorFlow environment for deep learning. Learn to train different types of deep learning models using TensorFlow, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Generative Adversarial Networks. While doing so, you will build end-to-end deep learning solutions to tackle different real-world problems in image processing, recommendation systems, stock prediction, and building chatbots, to name a few. You will also develop systems that perform machine translation, and use reinforcement learning techniques to play games.
By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow, and will be able to build and train your own deep learning models with TensorFlow confidently.What you will learnSet up the TensorFlow environment for deep learningConstruct your own ConvNets for effective image processingUse LSTMs for image caption generationForecast stock prediction accurately with an LSTM architectureLearn what semantic matching is by detecting duplicate Quora questionsSet up an AWS instance with TensorFlow to train GANsTrain and set up a chatbot to understand and interpret human inputBuild an AI capable of playing a video game by itself –and win it!Who this book is for
This book is for data scientists, machine learning developers as well as deep learning practitioners, who want to build interesting deep learning projects that leverage the power of Tensorflow. Some understanding of machine learning and deep learning, and familiarity with the TensorFlow framework is all you need to get started with this book.