Python Artificial Intelligence Projects for Beginners
Get up and running with Artificial Intelligence using 8 smart and exciting AI applications
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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 A...
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 - Building Your Own Prediction Models - Prediction with Random Forests - Application for comment classification - Neural Networks - Deep Learning
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