by iglouboy | Oct 29, 2021 | White Papers
This machine learning method is based on rewards and/or punishments. Optimal behaviour or action by a machine is reinforced by a positive reward. Undesired ones are punished – not just by lack of rewards but by terminating a procedure (for example, in game playing...
by iglouboy | Oct 29, 2021 | White Papers
Unsupervised learning is where a machine learns for itself. It has to identify naturally occurring patterns within data sets on its own – there are no pre-assigned labels or scores to help it. The conclusions it draws are based on statistical methods such as...
by iglouboy | Oct 28, 2021 | White Papers
Supervised learning is example-based. A computer algorithm is trained on input data labelled for a particular output. Similar totest automation, the test cases have expected results. This is straightforward enough, but comes with challenges
by iglouboy | Oct 8, 2021 | White Papers
In this paper, we look at recent developments in AI and ML, together with the long-standing challenges involved and the different types of testing that result from these challenges.
