Artificial inteligence vs. Machine learning
Glosary :)Artificial inteligence - the task given to machine to resolve and provide inteligent answer. Machine learning - the certain amount of examples given to machine to aggregate and build the complex knowlege database Deep learning - the tools variations machine learn to use to resolve the tasks as fast as possible. Work in progress...Today the AI/ML keywords we hear too often and seems people starting to think that AI is easy to develop. However 3 years passed by now and we have more questions then answers. All machine learning solutions are written under masively paralelised graphic processors. For single task >300 processor kernels can be allocaed at a time. Such ammount of paralelism alloows us to resolve task from 20 to 250 times faster. Regardless many existing theories and libraries today all artificial inteligence solutions was designed and developed from scratch. Such intimate knowledge allows us to provide service with exceptional quality. Topday business goal is to provide AI as the SaaS service. However there are no books wich we could read and use as guidance. Work in progress. You are welcome to try prototyped AI versions to detect anomalies in the systems, like:
|
|