Supervised Learning II: Advanced Regressors and Classifiers
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- Machine Learning/AI Engineers build end-to-end ML applications and power many of the apps we use every day. They work in Python, Git, & ML.
- Includes 7 Courses
- With Certificate
- Intermediate.50 hours
Statistical Dependence
In statistics, two events are dependent if the occurrence of one of the events causes the probability of the other event occurring to change in a predictable way.
Bayes Theorem
Bayes Theorem calculates the probability of A given B as the probability of B given A multiplied by the probability of A divided by the probability of B:
P(A|B)= {P(B|A)*P(A)}/{P(B)}
This theory describes the probability of an event (A), based on prior knowledge of conditions (P(B|A)) that might be related to the event.
Statistical Independence
In statistics, two events are independent if the probability of one event occurring does not affect the probability of the second event occurring.
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- Machine Learning/AI Engineers build end-to-end ML applications and power many of the apps we use every day. They work in Python, Git, & ML.
- Includes 7 Courses
- With Certificate
- Intermediate.50 hours