Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Artificial Intelligence By Example
Artificial Intelligence By Example

Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

eBook
€17.99 €26.99
Paperback
€32.99
Subscription
Free Trial
Renews at €18.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing
Table of content icon View table of contents Preview book icon Preview Book

Artificial Intelligence By Example

Think like a Machine

The first chapter described a reinforcement learning algorithm through the Q action-value function used by DQN. The agent was a driver. You are at the heart of DeepMind's approach to AI.

DeepMind is no doubt one of the world leaders in applied artificial intelligence. Scientific, mathematical, and applications research drives its strategy.

DeepMind was founded in 2010, was acquired by Google in 2014, and is now part of Alphabet, a collection of companies that includes Google.

One of the focuses of DeepMind is on reinforcement learning. They came up with an innovate version of reinforcement learning called DQN and referring to deep neural networks using the Q function (Bellman's equation). A seminal article published in February 2015 in Nature (see the link at the end of the chapter) shows how DQN outperformed other artificial intelligence research...

Technical requirements

Designing datasets – where the dream stops and the hard work begins

As in the previous chapter, bear in mind that a real-life project goes through a three-dimensional method in some form or the other. First, it's important to just think and talk about the problem to solve without jumping onto a laptop. Once that is done, bear in mind that the foundation of machine learning and deep learning relies on mathematics. Finally, once the problem has been discussed and mathematically represented, it is time to develop the solution.

First, think of a problem in natural language. Then, make a mathematical description of a problem. Only then, start the software implementation.

Designing datasets in natural language meetings

...

Logistic activation functions and classifiers

Now that the value of each location of L={l1,l2,l3,l4,l5,l6} contains its availability in a vector, the locations can be sorted from the most available to least available location. From there, the reward matrix for the MDP process described in the first chapter can be built.

Overall architecture

At this point, the overall architecture contains two main components:

  • Chapter 1: Become an Adaptive Thinker: A reinforcement learning program based on the value-action Q function using a reward matrix that is yet to be calculated. The reward matrix was given in the first chapter, but in real life, you'll often have to build it from scratch. This could take weeks to obtain.
  • Chapter...

Summary

Using a McCulloch-Pitts neuron with a logistic activation function in a one-layer network to build a reward matrix for reinforcement learning shows how to build real-life applications with AI technology.

Processing real-life data often requires a generalization of a logistic sigmoid function through a softmax function, and a one-hot function applied to logits to encode the data.

This shows that machine learning functions are tools that must be understood to be able to use all or parts of them to solve a problem. With this practical approach to artificial intelligence, a whole world of projects awaits you.

You can already use these first two chapters to present powerful trajectory models such as Amazon warehouses and deliveries to your team or customers. Furthermore, Amazon, Google, Facebook, Netflix, and many others are growing their data centers as we speak. Each data...

Questions

  1. Was the concept of using an artificial neuron discovered in 1990? (Yes | No)
  2. Does a neuron require a threshold? (Yes | No)
  3. A logistic sigmoid activation function makes the sum of the weights larger. (Yes | No)
  4. A McCulloch-Pitts neuron sums the weights of its inputs. (Yes | No)
  5. A logistic sigmoid function is a log10 operation. (Yes | No)
  6. A logistic softmax is not necessary if a logistic sigmoid function is applied to a vector. (Yes | No)
  7. A probability is a value between -1 and 1. (Yes | No)

Further reading

Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • AI-based examples to guide you in designing and implementing machine intelligence
  • Develop your own method for future AI solutions
  • Acquire advanced AI, machine learning, and deep learning design skills

Description

Artificial intelligence has the potential to replicate humans in every field. Artificial Intelligence By Example serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies. Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks. You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own. By the end of this book, you will have understood the fundamentals of AI and worked through a number of case studies that will help you develop your business vision.

Who is this book for?

Artificial Intelligence by Example is a simple, explanatory, and descriptive guide for junior developers, experienced developers, technology consultants, and those interested in AI who want to understand the fundamentals of artificial intelligence and implement it practically by devising smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this book.

What you will learn

  • Use adaptive thinking to solve real-life AI case studies
  • Rise beyond being a modern-day factory code worker
  • Acquire advanced AI, machine learning, and deep learning designing skills
  • Learn about cognitive NLP chatbots, quantum computing, and IoT and blockchain technology
  • Understand future AI solutions and adapt quickly to them
  • Develop out-of-the-box thinking to face any challenge the market presents

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : May 31, 2018
Length: 490 pages
Edition : 1st
Language : English
ISBN-13 : 9781788990547
Category :
Languages :
Tools :

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : May 31, 2018
Length: 490 pages
Edition : 1st
Language : English
ISBN-13 : 9781788990547
Category :
Languages :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
€18.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
€189.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just €5 each
Feature tick icon Exclusive print discounts
€264.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just €5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total 120.97
Hands-On Artificial Intelligence for Beginners
€41.99
Big Data Architect???s Handbook
€45.99
Artificial Intelligence By Example
€32.99
Total 120.97 Stars icon
Banner background image

Table of Contents

18 Chapters
Become an Adaptive Thinker Chevron down icon Chevron up icon
Think like a Machine Chevron down icon Chevron up icon
Apply Machine Thinking to a Human Problem Chevron down icon Chevron up icon
Become an Unconventional Innovator Chevron down icon Chevron up icon
Manage the Power of Machine Learning and Deep Learning Chevron down icon Chevron up icon
Don't Get Lost in Techniques – Focus on Optimizing Your Solutions Chevron down icon Chevron up icon
When and How to Use Artificial Intelligence Chevron down icon Chevron up icon
Revolutions Designed for Some Corporations and Disruptive Innovations for Small to Large Companies Chevron down icon Chevron up icon
Getting Your Neurons to Work Chevron down icon Chevron up icon
Applying Biomimicking to Artificial Intelligence Chevron down icon Chevron up icon
Conceptual Representation Learning Chevron down icon Chevron up icon
Automated Planning and Scheduling Chevron down icon Chevron up icon
AI and the Internet of Things (IoT) Chevron down icon Chevron up icon
Optimizing Blockchains with AI Chevron down icon Chevron up icon
Cognitive NLP Chatbots Chevron down icon Chevron up icon
Improve the Emotional Intelligence Deficiencies of Chatbots Chevron down icon Chevron up icon
Quantum Computers That Think Chevron down icon Chevron up icon
Answers to the Questions Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
(6 Ratings)
5 star 66.7%
4 star 0%
3 star 16.7%
2 star 0%
1 star 16.7%
Filter icon Filter
Top Reviews

Filter reviews by




Zeshan Aug 01, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I was looking for a "one stop" resource for AI. Once you start looking for AI learning online, you're overwhelmed with non-stop content, some of it is good and a lot of it isn't. Denis in this book has managed to strike the right balance of separating hype from reality. With no nonsense language, he builds up a picture of AI and its uses together with practical examples that you can set up in Virtual Machines. If you're looking for a straightforward learning resource for AI, this is it! Highly recommended!
Amazon Verified review Amazon
Prometheus Unbound Aug 10, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
AI by Example is a very readable book. Though he does not cover all AI topics (which is not it's intent), the author does a very good job at guiding the reader through "how to think about AI" by, of course, using examples. For each subject area, the author explains the conceptual, mathematical and implementation viewpoints in an easy to understand manner. As such, the author acts as a teacher who communicates through readable and accessible discourse. I would say the book is a good book for beginners who want to get started in understanding and coding some common AI algorithms, and early career AI engineers who want to sharpen how they think about AI in abstract and practical ways.
Amazon Verified review Amazon
Advait Jul 27, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I am a newbie artificial intelligence concepts yet I found this book extremely immersive,interactive and enjoyable to learn from.What makes this book stand out from other is the range of practical examples given with the complete code along with it.I feel it is totally worth spending your time learning from this book
Amazon Verified review Amazon
Juan Astudillo Aug 21, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
When i have been consulted by an Artificial Intelligence Book, i always think in this book . It's Complete from begin to end . The Author take you to overcome yourself transforming you from an Adaptive Thinker until to understand how a Quantum Copumter works. Amazing Book. Highgly recommended.
Amazon Verified review Amazon
Adnan Oct 31, 2018
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
Fancy cover page. Yet, the rest of the book is printed in low quality papers and not colored figures..!!!
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.