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Python Artificial Intelligence Projects for Beginners [Video]

More Information
Learn
  • Classify text and images according to predefined categories
  • Make use of neural networks, decision trees, random forests for classification
  • Apply deep learning on text and images
  • Extend pre-trained deep learning models
About

Artificial Intelligence (AI)is one of the hottest fields in computer science right now and has taken the world by storm as a major field of research and development. Python has surfaced as a dominate language in AI/ML programming because of its simplicity and flexibility, as well as its great support for open source libraries such as Scikit-learn and Keras.
Built for rookie AI enthusiasts across eight realistic projects, this course covers modern techniques that make up the world of AI. You’ll start with your first project that covers decision trees for classifying data using Scikit-learn libraries. Next, you will build a classifier using random forests. Then you will learn about text processing techniques and practice with bag-of-words and word2vec models. Further, you will be introduced to deep learning and neural networks and practice with projects that make use of Keras and convolutional neural networks.

By the end of this video course, you will be confident to build your own AI projects with Python and be ready to take on more advanced content as you go ahead.

Style and Approach

Built for rookie AI enthusiasts across eight realistic projects, this course covers modern techniques that make up the world of Artificial Intelligence.

Features
  • Work through hands-on projects that simplify your first steps in the world of Artificial Intelligence (AI) with Python
  • Get well-versed with AI concepts that have you up and running with AI in no time
  • Leverage popular Python deep learning libraries for your AI projects
Course Length 1 hours 52 minutes
ISBN 9781788394345
Date Of Publication 27 Dec 2017

Authors

Dr. Joshua Eckroth

Dr. Joshua Eckroth is assistant professor of computer science at Stetson University, where he teaches artificial intelligence (AI), big data mining and analytics, and software engineering. He earned his PhD from The Ohio State University in AI and cognitive science. Dr. Eckroth also serves as Chief Architect at i2k Connect, which focuses on transforming documents into structured data using AI and enriched with subject matter expertise.

Dr. Eckroth has previously published two video series with Packt, Python Artificial Intelligence Projects for Beginners and Advanced Artificial Intelligence Projects with Python. His academic publications may be found on Google Scholar.