How does probability relate to machine learning?

Hello, I’m new to Kaggle and would like to work on the Bosch competition. My naive approach…assuming I didn’t know about scikit-learn…would be to look at all the product failures and which factors contributed to those failures, then calculate a failure rate probability for each factor. Then, I would start looking at combinations of factors and calculate the probability of two factors producing a failure. This would work for awhile…looking at more and more combinations…until it becomes computationally intractable. Then I would have to start screening by confidence levels and choose only those factors with the biggest impact. Basically…I think I am describing either random forest or factor analysis. I haven’t done ML yet, so I’m a bit clueless. I am good with both python and pandas (and mathematica). One…

Link to Full Article: How does probability relate to machine learning?

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!