Packt Advanced Artificial Intelligence Projects With Python Tutoriale

Category: Tutorial


Posted on 2019-02-14, by elegance.

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ADVANCED ARTIFICIAL INTELLIGENCE PROJECTS WITH PYTHON TUTORIAL-OXBRiDGE


Genre:Training
Size: 469.68 MB




Description
University of OXford & University of camBRiDGE

is a collective term for characteristics that the two institutions share

Advanced Artificial Intelligence Projects with Python

Published by: Packt
Mar 2018

Lecture Size: 10x50
Length: +2 hrs
Lecture Date: 10/2018
Lecture Link: https://www.safaribooksonline.com/
https://www.packtpub.com: | Enter and explore the fascinating world of intelligent
| applications with Artificial Intelligence using the Python
| programming language
|
| About This Video
|
| Hands-on projects that simplify your first steps into the
| world of Artificial Intelligence with Python
| Master AI concepts that will get you up-and-running with AI in
| no time
| Leverage popular Python deep learning libraries for your
| Artificial Intelligence projects
|
| In Detail
|
| Considered 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
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