Artificial Intelligence FREE Course
Organization Name : Udacity
Course Provider : Georgia Tech
Details
COURSE COST
Free
TIMELINE
Approx. 4 Months
SKILL LEVEL
Intermediate
About This Course
Learn about the fundamentals of Artificial Intelligence in this introductory graduate-level course. It provides a survey of various topics in the field along with in-depth discussion of foundational concepts such as classical search, probability, machine learning, logic and planning.
What you’ll Learn
- LESSON 1
- Search
- Game Playing
- Basics of Search
- Logic and Planning
- Search
- LESSON 2
- Constraints and Bayes Nets
- Constraint Satisfaction
- Probability
- Bayes Nets
- Constraints and Bayes Nets
- LESSON 3
- Basics of Machine Learning
- Simulated Annealing
- Machine Learning
- Pattern Recognition through Time
- Basics of Machine Learning
Prerequisites & Requirements
Undergraduate computer algorithm and data structures courses that cover O notation, time and space constraints; working knowledge of college level mathematics such as calculus, probability, and linear algebra. You will also need to be familiar with Python and be comfortable making modifications to large programs.
Please review the following questions, if you answer “no” to any of them you may want to refresh your knowledge or practice the required skills prior to taking the class:
Are you comfortable programming in Python, including IPython notebooks? If not, are you comfortable in learning a language within the first week of class?
Have you taken several classes that required intensive programming?
Have you taken algorithms and data structures courses?
Are you prepared to spend at least 9 hours a week on this class?
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