AI Blueprints: How to build and deploy AI business projects

Dr. Joshua Eckroth

Schoen

$43.99

5 (14 Ratings)

Paperback Dec 2018 250 pages 1st Edition

Dr. Joshua Eckroth

Schoen

$43.99

5 (14 Ratings)

Paperback Dec 2018 250 pages 1st Edition

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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

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Amazon verified reviews

Mark Watson Jan 13, 2019

The publisher sent me a review copy of Joshua Eckroth‘s new book this week. There is a lot to like: realistic cookbook style examples for several common AI use cases. The author provides sufficient background material to explain how the examples work and for people who want to learn by doing the text and the github repo for this book is a great start.I was surprised to see a Prolog example, but the material made me nostalgic (I used Prolog a lot 25+ years ago). While this book is a good start I also recommend digging deeper into the technology of the examples that are of most interest to you (e.g., Andrew Ng’s 5 course series on deep learning, Peter Norvig’s online AI class, etc.)This is a good book and well worth investing time with.

Amazon Verified review

bgb Jan 12, 2019

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

Keri Harvey Jan 14, 2019

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.

KMG Jan 27, 2019

Dr. Eckroth has an uncanny ability to make complicated concepts accessible. He has given us a useful and timely tool chest to access many of the capabilities inherent in AI and build applications needed in numerous industries. AI promises to deliver efficiencies and information capabilities never before seen, but it remains just out of reach for most firms. Dr. Eckroth’s straight-forward approach gives firms that little extra reach they need to finally take advantage of AI’s gifts. The future is now for AI applications and Dr. Eckroth’s tool chest gives us the ability to enjoy its benefits.

Eric Schoen Jan 14, 2019

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.)

AI Blueprints: How to build and deploy AI business projects

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AI Blueprints

Chapter 2. A Blueprint for Planning Cloud Infrastructure

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Method – constraint solvers

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