Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More
InstructorLazy Programmer Inc.Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
A statistical diagram illustrating a two-tailed hypothesis test with a normal distribution curve, critical values, and rejection regions.
A slide titled Adaptive Systems displays a photo of a LEGO Mindstorms robot equipped with a camera and a red LED light in a room.
Presentation slide titled The Bayesian Method featuring a central monitor connected to social media icons and a line graph of three probability distributions.
The curriculum moves from probability foundations and frequentist Z-tests into advanced Bayesian bandit algorithms like Thompson Sampling.
One sampled review suggests that learners have reported that the Bayesian bandit lectures provided direct value for professional projects.
The transition into bandit algorithms may exceed the stated prerequisites, requiring more intermediate knowledge than initially indicated. Note that this signal predates the displayed update; while the update label may have addressed it, it does not prove a correction.
Some learners find the heavy use of equations difficult to follow without more contextual explanation or notebook-based delivery. Note that this signal predates the displayed update; while the update label may have addressed it, it does not prove a correction.
The course aligns with technical backgrounds but shows a potential gap regarding the difficulty of the bandit sections. Note that this signal predates the displayed update; while the update label may have addressed it, it does not prove a correction.
