Book Image

Artificial Intelligence By Example

By : Denis Rothman
Book Image

Artificial Intelligence By Example

By: Denis Rothman

Overview of this book

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.
Table of Contents (19 chapters)

Technical requirements

You will need Python 3.6x 64-bit from https://www.python.org/.

You will also need these libraries:

from googleapiclient.discovery import build
import html.parser as htmlparser
import pandas as pd
from matplotlib import pyplot as plt
from sklearn.neighbors import KNeighborsClassifier

And you will need programs from GitHub Chapter08:

  • google_translate.py
  • Google_translate_a_few_test_expressions.py
  • knn_polysemy.py (download V1.csv in the same directory)
  • Google_Translate_customized.py (download V1.csv in the same directory)

Check out the following video to see the code in action:

https://goo.gl/aMcfcf