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AI Blueprints
AI Blueprints

AI Blueprints: How to build and deploy AI business projects

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Profile Icon Dr. Joshua Eckroth Profile Icon Schoen
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$35.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (14 Ratings)
eBook Dec 2018 250 pages 1st Edition
eBook
$35.99
Paperback
$43.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Dr. Joshua Eckroth Profile Icon Schoen
Arrow right icon
$35.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (14 Ratings)
eBook Dec 2018 250 pages 1st Edition
eBook
$35.99
Paperback
$43.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$35.99
Paperback
$43.99
Subscription
Free Trial
Renews at $12.99p/m

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AI Blueprints

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Key benefits

  • Learn and master the essential blueprints to program AI for real-world business applications
  • Gain insights into how modern AI and machine learning solve core business challenges
  • Acquire practical techniques and a workflow that can build AI applications using state-of-the-art software libraries
  • Work with a practical, code-based strategy for creating successful AI solutions in your business

Description

AI Blueprints gives you a working framework and the techniques to build your own successful AI business applications. You’ll learn across six business scenarios how AI can solve critical challenges with state-of-the-art AI software libraries and a well thought out workflow. Along the way you’ll discover the practical techniques to build AI business applications from first design to full coding and deployment. The AI blueprints in this book solve key business scenarios. The first blueprint uses AI to find solutions for building plans for cloud computing that are on-time and under budget. The second blueprint involves an AI system that continuously monitors social media to gauge public feeling about a topic of interest - such as self-driving cars. You’ll learn how to approach AI business problems and apply blueprints that can ensure success. The next AI scenario shows you how to approach the problem of creating a recommendation engine and monitoring how those recommendations perform. The fourth blueprint shows you how to use deep learning to find your business logo in social media photos and assess how people interact with your products. Learn the practical techniques involved and how to apply these blueprints intelligently. The fifth blueprint is about how to best design a ‘trending now’ section on your website, much like the one we know from Twitter. The sixth blueprint shows how to create helpful chatbots so that an AI system can understand customers’ questions and answer them with relevant responses. This book continuously demonstrates a working framework and strategy for building AI business applications. Along the way, you’ll also learn how to prepare for future advances in AI. You’ll gain a workflow and a toolbox of patterns and techniques so that you can create your own smart code.

Who is this book for?

Programming AI Business Applications provides an introduction to AI with real-world examples. This book can be read and understood by programmers and students without requiring previous AI experience. The projects in this book make use of Java and Python and several popular and state-of-the-art opensource AI libraries.

What you will learn

  • An essential toolbox of blueprints and advanced techniques for building AI business applications
  • How to design and deploy AI applications that meet today's business needs
  • A workflow from first design stages to practical code solutions in your next AI projects
  • Solutions for AI projects that involve social media analytics and recommendation engines
  • Practical projects and techniques for sentiment analysis and helpful chatbots
  • A blueprint for AI projects that recommend products based on customer purchasing habits
  • How to prepare yourself for the next decade of AI and machine learning advancements

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 31, 2018
Length: 250 pages
Edition : 1st
Language : English
ISBN-13 : 9781788997973
Category :

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Product Details

Publication date : Dec 31, 2018
Length: 250 pages
Edition : 1st
Language : English
ISBN-13 : 9781788997973
Category :

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Table of Contents

8 Chapters
The AI Workflow Chevron down icon Chevron up icon
A Blueprint for Planning Cloud Infrastructure Chevron down icon Chevron up icon
A Blueprint for Making Sense of Feedback Chevron down icon Chevron up icon
A Blueprint for Recommending Products and Services Chevron down icon Chevron up icon
A Blueprint for Detecting Your Logo in Social Media Chevron down icon Chevron up icon
A Blueprint for Discovering Trends and Recognizing Anomalies Chevron down icon Chevron up icon
A Blueprint for Understanding Queries and Generating Responses Chevron down icon Chevron up icon
Preparing for Your Futureand Surviving the Hype Cycle Chevron down icon Chevron up icon

Customer reviews

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bgb Jan 12, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This much-needed handbook clearly and succinctly describes several of the most important applications of AI in today’s business world. It is written for programmers with a job to do: in short sections he tells you what software tools you need in order to start and how to implement them. E.g., how to use feedback, how to create recommendations, how to interact with the web, how to discover patterns in data, how to implement “deep learning”, and how to parse full text articles. The “how to” in each case points to specific code libraries that accomplish the job.Dr. Eckroth promises to focus on “programming realistic and useful AI applications with state-of-the-art software libraries” -- and he delivers.Bruce BuchananPast President and Fellow of AAAI
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Keri Harvey Jan 14, 2019
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This book is extremely well thought-out and organized.The projects detailed in each chapter showcase multiple AI use cases and techniques. In each chapter, the AI workflow is addressed in the context of the specific project. The reader is encouraged not only to practice with the techniques and learn new coding skills but also to critically consider how the AI workflow might apply to new situations that are beyond the scope of this book. The final chapter of the book examines the various highs and lows of interest in AL and ML over the last several decades. It ends with advice on how to identify new approaches and advances in AI and how to decide whether or not these advances are relevant for real business need.I felt that the Summaries at the end of each chapter were very helpful.This book is targeted at software engineers who are familiar with Java and Python and wish to learn how to use artificial intelligence and machine learning in their code. The projects and suggested workflow target small/medium businesses and startup companies that wish to introduce advanced capabilities and automation into an existing platform.Excellent read.
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Eric Schoen Jan 14, 2019
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As AI practitioners, we tend to focus on core problems: text and speech understanding, pattern recognition, machine learning, cognitive architectures, and so on. Stepping back, as computer scientists, we see problems in terms of algorithms, data structures, and information models. It’s easy to lose sight of some key and maybe uncomfortable truths: AI applications can be trained to meet or exceed the performance of the best human experts—but can still very mysteriously “fall off the cliff” when presented with problems outside of their trained scope; AI will always be a small part of any real world system; and, AI applications need regular attention: performance monitoring and updates. Dr. Eckroth addresses these truths through a comprehensive tour of AI technologies that anyone can adopt, combined with a very practical approach toward integrating, deploying, and evaluating applications to solve real-world problems.(I was a technical reviewer of this book for the publisher.)
Amazon Verified review Amazon
Rachel Berkowitz Feb 02, 2019
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As a non-expert in either AI or software engineering, I found Dr Eckroth's book very accessible and informative. I really appreciated the 'how-to' approach and look forward to working through the examples. The clear discussions about what types of problems AI technologies can help to solve, and how they fit into larger software systems, provide good context for a topic that often gets mentioned as a fix-anything tool. I would recommend the book to anybody who wants a hands-on approach to learning about AI, whether for business or just out of curiosity.
Amazon Verified review Amazon
Edson Tirelli Jan 21, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Artificial Intelligence is a broad subject that is often quite daunting to approach without proper guidance. On this book, the author takes a very pragmatic approach, cookbook style, presenting a number of real world problems and demonstrating how to approach them, building solutions with existing AI software/tools.The examples range from classic resource optimization problems, to natural language processing and neural network applications, among others.The author clearly shows his experience as a teacher on this book. Using an objective and clear language, the book is a joy to read and really easy to follow. A much needed addition to my library.
Amazon Verified review Amazon
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