Red Hat AI/ML presentation at FI on Wednesday 6. 11. 2019
AI/ML for 40 people at FI MUNI on Wednesday 6. 11. from 3 PM
Abstract for AI/ML:
With the advent of cheap and fast computational power, large datasets, as well as algorithmic advances, machine learning is being adopted by both industry and scientific fields at an accelerating pace. Red Hat has invested resources in using machine learning for applications in finance and accounting, sales, better customer service but also in systems engineering. A modern computing stack is replete with sophisticated hardware and software that interact in complex ways and rely on heuristics or rules-of-thumb for making many decisions. Can we replace these heuristics by learned models? Can these models result in efficiencies in both performance as well as energy consumption? This talk introduces some basics of machine learning followed by a tour through some interesting problems at the interface of systems engineering and machine learning.
- registering form
Abstract for AI/ML:
With the advent of cheap and fast computational power, large datasets, as well as algorithmic advances, machine learning is being adopted by both industry and scientific fields at an accelerating pace. Red Hat has invested resources in using machine learning for applications in finance and accounting, sales, better customer service but also in systems engineering. A modern computing stack is replete with sophisticated hardware and software that interact in complex ways and rely on heuristics or rules-of-thumb for making many decisions. Can we replace these heuristics by learned models? Can these models result in efficiencies in both performance as well as energy consumption? This talk introduces some basics of machine learning followed by a tour through some interesting problems at the interface of systems engineering and machine learning.
- registering form