Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mathematica Data Analysis

You're reading from   Mathematica Data Analysis Learn and explore the fundamentals of data analysis with power of Mathematica

Arrow left icon
Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781785884931
Length 164 pages
Edition 1st Edition
Arrow right icon
Author (1):
Arrow left icon
Sergiy Suchok Sergiy Suchok
Author Profile Icon Sergiy Suchok
Sergiy Suchok
Arrow right icon
View More author details
Toc

Table of Contents (10) Chapters Close

Preface 1. First Steps in Data Analysis FREE CHAPTER 2. Broad Capabilities for Data Import 3. Creating an Interface for an External Program 4. Analyzing Data with the Help of Mathematica 5. Discovering the Advanced Capabilities of Time Series 6. Statistical Hypothesis Testing in Two Clicks 7. Predicting the Dataset Behavior 8. Rock-Paper-Scissors – Intelligent Processing of Datasets Index

Image recognition


With the help of Mathematica's knowledge base on pattern recognition, we can engage in the development of artificial intelligence. Mathematica needs only one photo to report what is depicted in it. This is possible thanks to the ImageIdentify function:

However, this definition is not limited to only one category. Since it is not always possible to identify exactly what is depicted in an image, you should specify additional parameters to be able to select among options. For example, in this case, we are asking for 10 possible options to be shown:

If we know exactly that there is an edible fruit in the image, then Mathematica will help to classify it. For example, in the next case, we ask for 10 types of edible fruits, which could match this image together with their probabilities:

Note one very useful function—WordCloud. This allows you to build a cloud of words depending on their frequency, which helps to define what is in the image more clearly.

The ImageInstanceQ function...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image