“In my youth, I would have argued that life is just a series of random events devoid of any meaning. But as a data scientist, I have to recognize that sometimes patterns emerge. Undeniable patterns.”
– Bertram Gilfolye, Pied Piper CTO & Senior Systems Architect
Even in the world of boxing, patterns emerge. “1-2-3” (jab, cross, hook) is an extremely powerful boxing combination. Continuing with our analogy, even though Fuchikoma v0 was able to correctly identify a jab, a cross, and a hook individually, our friend would not be able to link these seemingly disparate attacks together and predict the following combination–an important skill to master when one learns the art of the sweet science.
The post-trained Fuchikoma ML model’s automated process should be able to detect the jab, the cross, and the hook. If our friend initially verifies the jab and the hook, it should know to look for the missing link in the pattern–the cross. Ideally, if Fuchikoma reads any two of the 1-2-3 combo events, it should know to look for or predict the missing link. Not just for the good ol’ 1-2-3, but for all known attack patterns Mike Tyson has ever swung before. Fuchikoma is defending a sensitive corporate enterprise. If one punch gets through, the enterprise could face serious repercussion concussions.