Hands On Artificial Intelligence For Android

Hands On Artificial Intelligence For Android Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Hands On Artificial Intelligence For Android book. This book definitely worth reading, it is an incredibly well-written.

Hands-On Artificial Intelligence for Android

Vasco Correia Veloso
Hands On Artificial Intelligence for Android Book PDF

Author : Vasco Correia Veloso
Publisher : BPB Publications
Page : 427 pages
File Size : 40,8 Mb
Release : 2022-01-27
Category : Computers
ISBN : 9789355510242

Get Book

Hands-On Artificial Intelligence for Android by Vasco Correia Veloso Pdf

Build machine learning models and train them to make Android applications much smarter. KEY FEATURES ● Learn by doing, training, and evaluating your own machine learning models. ● Includes pre-trained TensorFlow models for image processing. ● Explains practical use cases of artificial intelligence in Android. DESCRIPTION This book features techniques and real implementations of machine learning applications on Android phones. This book covers various developer tools, including TensorFlow and Google ML Kit. The book begins with a quick review of android application development fundamentals and a couple of Java and Kotlin implementations developed using the Android Studio integrated development environment. The book explores TensorFlow Lite and Google ML Kit, along with some of the most widely used machine learning techniques. The book covers real projects on TensorFlow, demonstrates how to collect photos with Camera X, and preprocess them with the Google ML Kit. It explains how to onboard the power of machine learning in Android applications that detect images, identify faces, and apply effects to photographs, among other things. These applications are constructed on top of TensorFlow models – some of which were created and trained by the reader – and then converted to TensorFlow Lite for mobile applications. After reading the book, the reader will be able to apply machine learning techniques to create Android applications and take their applications to the next level. This book can be a successful tool to deep dive into Data Science for all mobile programmers. WHAT YOU WILL LEARN ● Get well-versed with Android Development and the fundamentals of AI. ● Learn to set up the ML environment with hands-on knowledge of TensorFlow. ● Build, train, and evaluate Machine Learning models. ● Practice ML by working on real face verification and identification applications. ● Explore cutting-edge models such as GAN and RNN in detail. ● Experience the use of CameraX, SQLite, and Google ML Kit on Android. WHO THIS BOOK IS FOR This book is intended for android developers, application engineers, machine learning engineers, and anybody interested in infusing intelligent, inventive, and smart features into mobile phones. Readers should have a basic understanding of the Java programming language. TABLE OF CONTENTS 1. Building an Application with Android Studio and Java 2. Event Handling and Intents in Android 3. Building our Base Application with Kotlin and SQLite 4. An Overview of Artificial Intelligence and Machine Learning 5. Introduction to TensorFlow 6. Training a Model for Image Recognition with TensorFlow 7. Android Camera Image Capture with CameraX 8. Using the Image Recognition Model in an Android Application 9. Detecting Faces with the Google ML Kit 10. Verifying Faces in Android with TensorFlow Lite 11. Registering Faces in the Application 12. Image Processing with Generative Adversarial Networks 13. Describing Images with NLP

Mobile Artificial Intelligence Projects

Karthikeyan NG,Arun Padmanabhan,Matt R. Cole
Mobile Artificial Intelligence Projects Book PDF

Author : Karthikeyan NG,Arun Padmanabhan,Matt R. Cole
Publisher : Packt Publishing Ltd
Page : 303 pages
File Size : 47,7 Mb
Release : 2019-03-30
Category : Computers
ISBN : 9781789347043

Get Book

Mobile Artificial Intelligence Projects by Karthikeyan NG,Arun Padmanabhan,Matt R. Cole Pdf

Learn to build end-to-end AI apps from scratch for Android and iOS using TensorFlow Lite, CoreML, and PyTorch Key FeaturesBuild practical, real-world AI projects on Android and iOSImplement tasks such as recognizing handwritten digits, sentiment analysis, and moreExplore the core functions of machine learning, deep learning, and mobile visionBook Description We’re witnessing a revolution in Artificial Intelligence, thanks to breakthroughs in deep learning. Mobile Artificial Intelligence Projects empowers you to take part in this revolution by applying Artificial Intelligence (AI) techniques to design applications for natural language processing (NLP), robotics, and computer vision. This book teaches you to harness the power of AI in mobile applications along with learning the core functions of NLP, neural networks, deep learning, and mobile vision. It features a range of projects, covering tasks such as real-estate price prediction, recognizing hand-written digits, predicting car damage, and sentiment analysis. You will learn to utilize NLP and machine learning algorithms to make applications more predictive, proactive, and capable of making autonomous decisions with less human input. In the concluding chapters, you will work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch across Android and iOS platforms. By the end of this book, you will have developed exciting and more intuitive mobile applications that deliver a customized and more personalized experience to users. What you will learnExplore the concepts and fundamentals of AI, deep learning, and neural networksImplement use cases for machine vision and natural language processingBuild an ML model to predict car damage using TensorFlowDeploy TensorFlow on mobile to convert speech to textImplement GAN to recognize hand-written digitsDevelop end-to-end mobile applications that use AI principlesWork with popular libraries, such as TensorFlow Lite, CoreML, and PyTorchWho this book is for Mobile Artificial Intelligence Projects is for machine learning professionals, deep learning engineers, AI engineers, and software engineers who want to integrate AI technology into mobile-based platforms and applications. Sound knowledge of machine learning and experience with any programming language is all you need to get started with this book.

Android Dreams

Toby Walsh
Android Dreams Book PDF

Author : Toby Walsh
Publisher : Oxford University Press
Page : 291 pages
File Size : 43,8 Mb
Release : 2017
Category : Artificial intelligence
ISBN : 9781849048712

Get Book

Android Dreams by Toby Walsh Pdf

The development of thinking machines is an adventure as bold and ambitious as any that humans have attempted. And the truth is that Artificial Intelligence is already an indispensable part of our daily lives. Without it, Google wouldn't have answers and your smartphone would just be a phone.But how will AI change society by 2050? Will it destroy jobs? Or even pose an existential threat?Android Dreams is a lively exploration of how AI will transform our societies, economies and selves. From robot criminals to cyber healthcare, and a sky full of empty planes, Toby Walsh's predictions about AI are guaranteed to surprise you.

Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Anubhav Singh,Rimjhim Bhadani
Mobile Deep Learning with TensorFlow Lite ML Kit and Flutter Book PDF

Author : Anubhav Singh,Rimjhim Bhadani
Publisher : Packt Publishing Ltd
Page : 372 pages
File Size : 49,9 Mb
Release : 2020-04-06
Category : Computers
ISBN : 9781789613995

Get Book

Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter by Anubhav Singh,Rimjhim Bhadani Pdf

Learn how to deploy effective deep learning solutions on cross-platform applications built using TensorFlow Lite, ML Kit, and Flutter Key FeaturesWork through projects covering mobile vision, style transfer, speech processing, and multimedia processingCover interesting deep learning solutions for mobileBuild your confidence in training models, performance tuning, memory optimization, and neural network deployment through every projectBook Description Deep learning is rapidly becoming the most popular topic in the mobile app industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart artificial intelligence assistant, augmented reality, and more. With the help of eight projects, you will learn how to integrate deep learning processes into mobile platforms, iOS, and Android. This will help you to transform deep learning features into robust mobile apps efficiently. You’ll get hands-on experience of selecting the right deep learning architectures and optimizing mobile deep learning models while following an application oriented-approach to deep learning on native mobile apps. We will later cover various pre-trained and custom-built deep learning model-based APIs such as machine learning (ML) Kit through Firebase. Further on, the book will take you through examples of creating custom deep learning models with TensorFlow Lite. Each project will demonstrate how to integrate deep learning libraries into your mobile apps, right from preparing the model through to deployment. By the end of this book, you’ll have mastered the skills to build and deploy deep learning mobile applications on both iOS and Android. What you will learnCreate your own customized chatbot by extending the functionality of Google AssistantImprove learning accuracy with the help of features available on mobile devicesPerform visual recognition tasks using image processingUse augmented reality to generate captions for a camera feedAuthenticate users and create a mechanism to identify rare and suspicious user interactionsDevelop a chess engine based on deep reinforcement learningExplore the concepts and methods involved in rolling out production-ready deep learning iOS and Android applicationsWho this book is for This book is for data scientists, deep learning and computer vision engineers, and natural language processing (NLP) engineers who want to build smart mobile apps using deep learning methods. You will also find this book useful if you want to improve your mobile app’s user interface (UI) by harnessing the potential of deep learning. Basic knowledge of neural networks and coding experience in Python will be beneficial to get started with this book.

Human Interaction & Emerging Technologies (IHIET-AI 2022): Artificial Intelligence & Future Applications

Tareq Ahram and Redha Taiar
Human Interaction Emerging Technologies IHIET AI 2022 Artificial Intelligence Future Applications Book PDF

Author : Tareq Ahram and Redha Taiar
Publisher : AHFE International
Page : 853 pages
File Size : 51,5 Mb
Release : 2022-04-22
Category : Technology & Engineering
ISBN : 9781792389894

Get Book

Human Interaction & Emerging Technologies (IHIET-AI 2022): Artificial Intelligence & Future Applications by Tareq Ahram and Redha Taiar Pdf

Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications Proceedings of the 7th International Conference on Human Interaction and Emerging Technologies, IHIET-AI 2022, April 21–23, 2022, Lausanne, Switzerland

The Future of Android

StoryBuddiesPlay
The Future of Android Book PDF

Author : StoryBuddiesPlay
Publisher : StoryBuddiesPlay
Page : 57 pages
File Size : 53,8 Mb
Release : 2024-04-12
Category : Computers
ISBN : 8210379456XXX

Get Book

The Future of Android by StoryBuddiesPlay Pdf

Dive into the Exciting Future of Android: Foldables, AR/VR, AI & Beyond The world of Android is on the cusp of a revolution. This comprehensive exploration delves into the cutting-edge technologies shaping the platform's future. Unfold the potential of foldable phones with their game-changing screen real estate. Explore how Augmented Reality and Virtual Reality are blurring the lines between the physical and digital, creating immersive experiences you can hold in your hand. Discover how Artificial Intelligence is transforming our devices into intelligent companions, anticipating needs and streamlining daily tasks. But the journey doesn't stop there. We'll delve into the ever-increasing processing power and hardware advancements that make Android devices more powerful than ever before. Imagine editing videos, playing demanding games, and experiencing vibrant visuals on your pocket-sized powerhouse. We'll explore the expanding Internet of Things (IoT) ecosystem, and how Android is poised to become the central hub for controlling your smart home, wearables, and a network of interconnected devices. Security and privacy remain paramount concerns in this ever-connected world. This guide explores the ongoing battle against malware, phishing attacks, and data breaches, and the crucial steps being taken to build trust within the Android ecosystem. We'll discuss the role of developers in shaping the future of Android, from the challenges of optimizing apps for foldable displays to the opportunities presented by AR/VR and the vast realm of the IoT. This comprehensive exploration is your one-stop shop for understanding the exciting future of Android. Whether you're a tech enthusiast, a developer, or simply curious about where mobile technology is headed, this guide equips you with the knowledge to navigate the ever-evolving landscape. So, join us on this journey as we unveil the next chapter of Android!

Hands-On Artificial Intelligence for Beginners

Patrick D. Smith
Hands On Artificial Intelligence for Beginners Book PDF

Author : Patrick D. Smith
Publisher : Packt Publishing Ltd
Page : 362 pages
File Size : 46,9 Mb
Release : 2018-10-31
Category : Computers
ISBN : 9781788992268

Get Book

Hands-On Artificial Intelligence for Beginners by Patrick D. Smith Pdf

Grasp the fundamentals of Artificial Intelligence and build your own intelligent systems with ease Key FeaturesEnter the world of AI with the help of solid concepts and real-world use casesExplore AI components to build real-world automated intelligenceBecome well versed with machine learning and deep learning conceptsBook Description Virtual Assistants, such as Alexa and Siri, process our requests, Google's cars have started to read addresses, and Amazon's prices and Netflix's recommended videos are decided by AI. Artificial Intelligence is one of the most exciting technologies and is becoming increasingly significant in the modern world. Hands-On Artificial Intelligence for Beginners will teach you what Artificial Intelligence is and how to design and build intelligent applications. This book will teach you to harness packages such as TensorFlow in order to create powerful AI systems. You will begin with reviewing the recent changes in AI and learning how artificial neural networks (ANNs) have enabled more intelligent AI. You'll explore feedforward, recurrent, convolutional, and generative neural networks (FFNNs, RNNs, CNNs, and GNNs), as well as reinforcement learning methods. In the concluding chapters, you'll learn how to implement these methods for a variety of tasks, such as generating text for chatbots, and playing board and video games. By the end of this book, you will be able to understand exactly what you need to consider when optimizing ANNs and how to deploy and maintain AI applications. What you will learnUse TensorFlow packages to create AI systemsBuild feedforward, convolutional, and recurrent neural networksImplement generative models for text generationBuild reinforcement learning algorithms to play gamesAssemble RNNs, CNNs, and decoders to create an intelligent assistantUtilize RNNs to predict stock market behaviorCreate and scale training pipelines and deployment architectures for AI systemsWho this book is for This book is designed for beginners in AI, aspiring AI developers, as well as machine learning enthusiasts with an interest in leveraging various algorithms to build powerful AI applications.

Intelligent Mobile Projects with TensorFlow

Jeff Tang
Intelligent Mobile Projects with TensorFlow Book PDF

Author : Jeff Tang
Publisher : Packt Publishing Ltd
Page : 396 pages
File Size : 47,7 Mb
Release : 2018-05-22
Category : Computers
ISBN : 9781788628808

Get Book

Intelligent Mobile Projects with TensorFlow by Jeff Tang Pdf

Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow Key Features Build TensorFlow-powered AI applications for mobile and embedded devices Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning Get practical insights and exclusive working code not available in the TensorFlow documentation Book Description As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future? Artificial Intelligence (AI) is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of AI. This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You’ll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models. You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips. What you will learn Classify images with transfer learning Detect objects and their locations Transform pictures with amazing art styles Understand simple speech commands Describe images in natural language Recognize drawing with Convolutional Neural Network and Long Short-Term Memory Predict stock price with Recurrent Neural Network in TensorFlow and Keras Generate and enhance images with generative adversarial networks Build AlphaZero-like mobile game app in TensorFlow and Keras Use TensorFlow Lite and Core ML on mobile Develop TensorFlow apps on Raspberry Pi that can move, see, listen, speak, and learn Who this book is for If you're an iOS/Android developer interested in building and retraining others' TensorFlow models and running them in your mobile apps, or if you're a TensorFlow developer and want to run your new and amazing TensorFlow models on mobile devices, this book is for you. You'll also benefit from this book if you're interested in TensorFlow Lite, Core ML, or TensorFlow on Raspberry Pi.

Programming with TensorFlow

Kolla Bhanu Prakash,G. R. Kanagachidambaresan
Programming with TensorFlow Book PDF

Author : Kolla Bhanu Prakash,G. R. Kanagachidambaresan
Publisher : Springer Nature
Page : 190 pages
File Size : 54,5 Mb
Release : 2021-01-22
Category : Technology & Engineering
ISBN : 9783030570774

Get Book

Programming with TensorFlow by Kolla Bhanu Prakash,G. R. Kanagachidambaresan Pdf

This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for deep learning, Natural Language Processing (NLP), speech recognition, and general predictive analytics. The book provides a hands-on approach to TensorFlow fundamentals for a broad technical audience—from data scientists and engineers to students and researchers. The authors begin by working through some basic examples in TensorFlow before diving deeper into topics such as CNN, RNN, LSTM, and GNN. The book is written for those who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. The authors demonstrate TensorFlow projects on Single Board Computers (SBCs).

G's Story

Don Viecelli
G s Story Book PDF

Author : Don Viecelli
Publisher : Independently Published
Page : 254 pages
File Size : 47,6 Mb
Release : 2020-10
Category : Electronic
ISBN : 9798692415141

Get Book

G's Story by Don Viecelli Pdf

G's Story is about the first machine with Artificial Intelligence to pass the 'Turing Test' and win the Gold Medal Prize at the Loebner Prize Contest.G is an android who possesses what is known in humans as the 'general intelligence factor' or the ability to exhibit high level intelligence across all subject matter. G is sentient and self-aware and can think like a human. He was created by Julian Thornway, a genius and the great grandfather of 12 year old Timothy Thornway.Timothy lives in Algonquin, Illinois, which is a small town northwest of Chicago on the Fox River. Julian asks Timothy to spend two weeks with him in Michigan by the lake to help him prepare G for the Loebner Prize. The contest is being held in Chicago at Navy Pier and people are already protesting the event. The Turing Test is a game in which a machine and a human are questioned by a judge who tries to determine which of them is the machine. The objective of the machine is to fool the judge.Julian thinks he can win the $1,000,000 Gold Medal Prize and prove to the world that G is the first machine with artificial intelligence that can think and reason like a human. G, on the other hand, must prove to everyone that he should be accepted by society and not be banned from existence. The future of humanity may depend on it.In Part 2, sixteen years have passed. Timothy Thornway is now thirty years old and also becomes an astronaut for NASA.G was sent into space to explore the nearest star systems and find exoplanets in the "habitable zone" capable of supporting human life. The second mission was to search for other intelligent life in the universe. He is joined fifteen years later by a second, faster spaceship and reaches Proxima Centauri 4.2 light-years from Earth ahead of schedule. G discovers a large alien space station in orbit around the star. The space station is inhabited by an alien AI from a distance solar system. The AI has been waiting patiently for humans to arrive. With this discovery, G realizes his journey has just begun.

Advances in Artificial Intelligence

Francisco Herrera,Sergio Damas,Rosana Montes,Sergio Alonso,Óscar Cordón,Antonio González,Alicia Troncoso
Advances in Artificial Intelligence Book PDF

Author : Francisco Herrera,Sergio Damas,Rosana Montes,Sergio Alonso,Óscar Cordón,Antonio González,Alicia Troncoso
Publisher : Springer
Page : 411 pages
File Size : 47,6 Mb
Release : 2018-10-15
Category : Computers
ISBN : 9783030003746

Get Book

Advances in Artificial Intelligence by Francisco Herrera,Sergio Damas,Rosana Montes,Sergio Alonso,Óscar Cordón,Antonio González,Alicia Troncoso Pdf

​This book constitutes the refereed proceedings of the 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, held in Granada, Spain, in October 2018. The 36 full papers presented were carefully selected from 240 submissions. The Conference of the Spanish Association of Artificial Intelligence (CAEPIA) is a biennial forum open to researchers from all over the world to present and discuss their latest scientific and technological advances in Antificial Intelligence (AI). Authors are kindly requested to submit unpublished original papers describing relevant research on AI issues from all points of view: formal, methodological, technical or applied.

2013 International Conference on Computer Science and Artificial Intelligence

Dr. Yuetong Lin,Dr. Gabriel Alungbe,
2013 International Conference on Computer Science and Artificial Intelligence Book PDF

Author : Dr. Yuetong Lin,Dr. Gabriel Alungbe,
Publisher : DEStech Publications, Inc
Page : 460 pages
File Size : 44,8 Mb
Release : 2014-11-16
Category : Computers
ISBN : 9781605951324

Get Book

2013 International Conference on Computer Science and Artificial Intelligence by Dr. Yuetong Lin,Dr. Gabriel Alungbe, Pdf

The main objective of ICCSAI2013 is to provide a platform for the presentation of top and latest research results in global scientific areas. The conference aims to provide a high level international forum for researcher, engineers and practitioners to present and discuss recent advances and new techniques in computer science and artificial intelligence. It also serves to foster communications among researcher, engineers and practitioners working in a common interest in improving computer science, artificial intelligence and the related fields. We have received 325 numbers of papers through "Call for Paper", out of which 94 numbers of papers were accepted for publication in the conference proceedings through double blind review process. The conference is designed to stimulate the young minds including Research Scholars, Academicians, and Practitioners to contribute their ideas, thoughts and nobility in these two disciplines.

Artificial Intelligence Trends in Systems

Radek Silhavy
Artificial Intelligence Trends in Systems Book PDF

Author : Radek Silhavy
Publisher : Springer Nature
Page : 627 pages
File Size : 43,9 Mb
Release : 2022-07-07
Category : Technology & Engineering
ISBN : 9783031090769

Get Book

Artificial Intelligence Trends in Systems by Radek Silhavy Pdf

This book covers themes related to artificial intelligence in systems and networks application. Selected papers explore modern neural networks application, optimization and hybrid and bio-inspired algorithms are covered too. The refereed proceedings of the Artificial Intelligence Trends in Systems part of the 11th Computer Science On-line Conference 2022 (CSOC 2022), conducted online in April 2022, are included in this volume.

Practical AI on the Google Cloud Platform

Micheal Lanham
Practical AI on the Google Cloud Platform Book PDF

Author : Micheal Lanham
Publisher : Unknown
Page : 400 pages
File Size : 54,5 Mb
Release : 2020-12-08
Category : Electronic
ISBN : 1492075817

Get Book

Practical AI on the Google Cloud Platform by Micheal Lanham Pdf

AI is complicated, but cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. In this book, AI novices will learn how to use Google's AI-powered cloud services to do everything from analyzing text, images, and video to creating a chatbot. Author Micheal Lanham takes you step-by-step through building models, training them, and then expanding on them to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, this book will get you up and running with Google Cloud Platform, whether you're looking to build a simple business AI application or an AI assistant. Learn key concepts for data science, machine learning, and deep learning Explore tools like Video AI, AutoML Tables, the Cloud Inference API, the Recommendations AI API, and BigQuery ML Perform image recognition using CNNs, transfer learning, and GANs Build a simple language processor using embeddings, RNNs, and Bidirectional Encoder Representations from Transformers (BERT) Use Dialogflow to build a chatbot Analyze video with automatic video indexing, face detection, and TF Hub

Artificial Intelligence and Cybersecurity

Tuomo Sipola,Tero Kokkonen,Mika Karjalainen
Artificial Intelligence and Cybersecurity Book PDF

Author : Tuomo Sipola,Tero Kokkonen,Mika Karjalainen
Publisher : Springer Nature
Page : 300 pages
File Size : 43,9 Mb
Release : 2022-12-07
Category : Computers
ISBN : 9783031150302

Get Book

Artificial Intelligence and Cybersecurity by Tuomo Sipola,Tero Kokkonen,Mika Karjalainen Pdf

This book discusses artificial intelligence (AI) and cybersecurity from multiple points of view. The diverse chapters reveal modern trends and challenges related to the use of artificial intelligence when considering privacy, cyber-attacks and defense as well as applications from malware detection to radio signal intelligence. The chapters are contributed by an international team of renown researchers and professionals in the field of AI and cybersecurity. During the last few decades the rise of modern AI solutions that surpass humans in specific tasks has occurred. Moreover, these new technologies provide new methods of automating cybersecurity tasks. In addition to the privacy, ethics and cybersecurity concerns, the readers learn several new cutting edge applications of AI technologies. Researchers working in AI and cybersecurity as well as advanced level students studying computer science and electrical engineering with a focus on AI and Cybersecurity will find this book useful as a reference. Professionals working within these related fields will also want to purchase this book as a reference.