Book Image

Artificial Intelligence with Python

Book Image

Artificial Intelligence with Python

Overview of this book

Artificial Intelligence is becoming increasingly relevant in the modern world. By harnessing the power of algorithms, you can create apps which intelligently interact with the world around you, building intelligent recommender systems, automatic speech recognition systems and more. Starting with AI basics you'll move on to learn how to develop building blocks using data mining techniques. Discover how to make informed decisions about which algorithms to use, and how to apply them to real-world scenarios. This practical book covers a range of topics including predictive analytics and deep learning.
Table of Contents (23 chapters)
Artificial Intelligence with Python
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Matching mathematical expressions


We encounter mathematical operations all the time. Logic programming is a very efficient way of comparing expressions and finding out unknown values. Let's see how to do that.

Create a new Python file and import the following packages:

from logpy import run, var, fact 
import logpy.assoccomm as la 

Define a couple of mathematical operations:

# Define mathematical operations 
add = 'addition' 
mul = 'multiplication' 

Both addition and multiplication are commutative operations. Let's specify that:

# Declare that these operations are commutative 
# using the facts system 
fact(la.commutative, mul) 
fact(la.commutative, add) 
fact(la.associative, mul) 
fact(la.associative, add) 

Let's define some variables:

# Define some variables 
a, b, c = var('a'), var('b'), var('c') 

Consider the following expression:

expression_orig = 3 x (-2) + (1 + 2 x 3) x (-1) 

Let's generate this expression with masked variables. The first expression would be:

  • expression1 = (1 + 2 x a) x...