Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Python Artificial Intelligence Projects for Beginners: Get up and running with Artificial Intelligence using 8 smart and exciting AI applications

Buy

Build smart applications by implementing real-world artificial intelligence projects

Key Features

  • Explore a variety of AI projects with Python
  • Get well-versed with different types of neural networks and popular deep learning algorithms
  • Leverage popular Python deep learning libraries for your AI projects

Book Description

Artificial Intelligence (AI) is the newest technology that’s being employed among varied businesses, industries, and sectors. Python Artificial Intelligence Projects for Beginners demonstrates AI projects in Python, covering modern techniques that make up the world of Artificial Intelligence.

This book begins with helping you to build your first prediction model using the popular Python library, scikit-learn. You will understand how to build a classifier using an effective machine learning technique, random forest, and decision trees. With exciting projects on predicting bird species, analyzing student performance data, song genre identification, and spam detection, you will learn the fundamentals and various algorithms and techniques that foster the development of these smart applications. In the concluding chapters, you will also understand deep learning and neural network mechanisms through these projects with the help of the Keras library.

By the end of this book, you will be confident in building your own AI projects with Python and be ready to take on more advanced projects as you progress

What you will learn

  • Build a prediction model using decision trees and random forest
  • Use neural networks, decision trees, and random forests for classification
  • Detect YouTube comment spam with a bag-of-words and random forests
  • Identify handwritten mathematical symbols with convolutional neural networks
  • Revise the bird species identifier to use images
  • Learn to detect positive and negative sentiment in user reviews

Who this book is for

Python Artificial Intelligence Projects for Beginners is for Python developers who want to take their first step into the world of Artificial Intelligence using easy-to-follow projects. Basic working knowledge of Python programming is expected so that you’re able to play around with code

Table of Contents

  1. Building Your Own Prediction Models
  2. Prediction with Random Forests
  3. Application for comment classification
  4. Neural Networks
  5. Deep Learning
(HTML tags aren't allowed.)

Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks
Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks

Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner

Key Features

  • Get a first-hand experience of the deep learning concepts and techniques with this easy-to-follow guide
  • Train different types of neural networks using Tensorflow for...
Modern Python Standard Library Cookbook: Over 100 recipes to fully leverage the features of the standard library in Python
Modern Python Standard Library Cookbook: Over 100 recipes to fully leverage the features of the standard library in Python

Build optimized applications in Python by smartly implementing the standard library

Key Features

  • Strategic recipes for effective application development in Python
  • Techniques to create GUIs and implement security through cryptography
  • Best practices for...
Getting Started with Python for the Internet of Things: Leverage the full potential of Python to prototype and build IoT projects using the Raspberry Pi
Getting Started with Python for the Internet of Things: Leverage the full potential of Python to prototype and build IoT projects using the Raspberry Pi

Build clever, collaborative, and powerful automation systems with the Raspberry Pi and Python.

Key Features

  • Create your own Pi-Rover or Pi-Hexipod robots
  • Develop practical applications in Python using Raspberry Pi
  • Build your own Jarvis, a highly advanced...

Hands-On Software Engineering with Python: Move beyond basic programming and construct reliable and efficient software with complex code
Hands-On Software Engineering with Python: Move beyond basic programming and construct reliable and efficient software with complex code

Explore various verticals in software engineering through high-end systems using Python

Key Features

  • Master the tools and techniques used in software engineering
  • Evaluates available database options and selects one for the final Central Office system-components
  • ...
Functional Python Programming: Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads, 2nd Edition
Functional Python Programming: Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads, 2nd Edition

Create succinct and expressive implementations with functional programming in Python

Key Features

  • Learn how to choose between imperative and functional approaches based on expressiveness, clarity, and performance
  • Get familiar with complex concepts such as monads,...
Python Graphics: A Reference for Creating 2D and 3D Images
Python Graphics: A Reference for Creating 2D and 3D Images
Use Python's built-in features to create innovative graphics for data visualization and technical illustrations. This book goes beyond simple commands and libraries to explain how to not only display but also rotate, shade, and edit graphics for any purpose. 

Starting with the essential Python functions to set up a
...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy