[Udacity] Artificial Intelligence
What you’ll learn
Constraints and Bayes Nets
Fundamentals of Machine Studying
Undergraduate pc algorithm and knowledge buildings programs that cowl O notation, time and area constraints; working data of school stage arithmetic resembling calculus, chance, and linear algebra. Additionally, you will have to be accustomed to Python and be comfy making modifications to giant applications.
Please evaluation the next questions, if you happen to reply “no” to any of them you might wish to refresh your data or apply the required abilities previous to taking the category:
- Are you comfy programming in Python, together with IPython notebooks? If not, are you comfy in studying a language throughout the first week of sophistication?
- Have you ever taken a number of courses that required intensive programming?
- Have you ever taken algorithms and knowledge buildings programs?
- Are you ready to spend at the very least 9 hours per week on this class?
Be taught concerning the fundamentals of Synthetic Intelligence on this introductory graduate-level course. It offers a survey of assorted subjects within the discipline together with in-depth dialogue of foundational ideas resembling classical search, chance, machine studying, logic and planning.