“
... bias in training materials is inevitable and there are better ways to deal with adverse effects than to scrub them out of existence. Efforts to eliminate bias would simply create new kinds of bias and distort the validity of the original datasets. Bias can be unjust by some standards but serves a useful purpose. ... the way to deal with it is to use other systems developed by those not involved in the original code, assisted by subject matter experts who could spot damaging bias in AI output
...more
”
― MoneyGPT: AI and the Threat to the Global Economy
― MoneyGPT: AI and the Threat to the Global Economy
“
Connascence, in the context of software engineering, refers to the degree of coupling between software components. (Connascence.io hosts a handy reference to the various types of connascence.) Software components are connascent if a change in one would require the other(s) to be modified in order to maintain the overall correctness of the system.
”
― Data Management at Scale: Best Practices for Enterprise Architecture
― Data Management at Scale: Best Practices for Enterprise Architecture
Hello! I'm sharing a list of books that have helped me during my career in the data management f…more
1 member,
last active 2 years ago
