by Joshua Eckroth | Released March 2018 | ISBN: 9781788832403

Enter and explore the fascinating world of intelligent applications with Artificial Intelligence using the Python programming languageAbout This VideoHands-on projects that simplify your first steps into the world of Artificial Intelligence with PythonMaster AI concepts that will get you up-and-running with AI in no timeLeverage popular Python deep learning libraries for your Artificial Intelligence projectsIn DetailConsidered the Holy Grail of automation, data analysis, and robotics, Artificial Intelligence 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, in addition to its great support for open source libraries such as spaCy and TensorFlow.This video course is built for those with a basic understanding of artificial intelligence, introducing them to advanced artificial intelligence projects as they go ahead. The first project introduces natural language processing including part-of-speech tagging and named entity extraction. Wikipedia articles are used to demonstrate the extraction of keywords, and the Enron email archive is mined for mentions and relationships of people, places, and organizations. The spaCy library is used. The next project introduces genetic algorithms. The DEAP library is used. A music data set is used in a genetic algorithm that generates a music playlist satisfying multiple criteria such as song similarity and playlist length. The last project introduces reinforcement learning and deep reinforcement learning. The OpenAI Gym platform and Q-learning algorithm are used to build a game-playing AI.The code bundle for this video course is available at - https://github.com/PacktPublishing/Advanced-Artificial-Intelligence-Projects-with-Python Show and hide more

1. Chapter 1 : Natural Language Processing
   • The Course Overview 00:01:35
   • Goals and Techniques of NLP 00:03:21
   • Keyword Extraction 00:03:18
   • Keyword Extraction from Wikipedia 00:14:36
   • Entity and Relationship Extraction 00:03:41
   • Extracting Entities and Relationships from Email 00:17:09
2. Chapter 2 : Genetic Algorithms
   • How Genetic Algorithms Work? 00:07:59
   • Python DEAP Library 00:15:48
   • Music Analysis with the Essentia Library 00:07:20
   • Generating a Mix Tape with a Genetic Algorithm 00:15:03
3. Chapter 3 : Let’s Play a Game – Reinforcement Learning
   • How Reinforcement Learning Works? 00:04:55
   • Q-Learning 00:05:30
   • Creating a Game Player with Reinforcement Learning 00:13:03
   • Deep Reinforcement Learning 00:09:29
Show and hide more