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 dominant 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-based 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 organisations. 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.
This course comes along with a community - Advanced Artificial Intelligence Projects with Python. Once you purchase the course, you become a part of this community. You can enhance your learning by participating in the discussion threads, raise queries and get solutions through the community in quick time. You can also share your own ideas, access best practices shared by peers, get ideas about the next learning topics to complete your study. You may also participate in the ongoing discussion forums to raise and clear your doubts. You are also encouraged to go through all the topics of the course in detail and post your queries in the applicable comments section of the community. The moderator of the community will get back to you within a short time.
On completion of the course, you can build advanced AI applications using powerful and popular Python deep learning libraries that help you interact intelligently with the world around you.
Basic understanding of machine learning and minimal experience in developing AI projects is required.