Type I error
Type I error is a concept that plays a crucial role in hypothesis testing, significantly affecting how researchers interpret findings. Often referred to as a false-positive error, it can lead to the i...
Type II error
Type II error is a critical concept in the realm of hypothesis testing, capturing the essence of statistical missteps. Understanding this error is essential for researchers and statisticians seeking t...
Sneak Preview: Origin to Edge: Video Caching and Content Delivery
On Tuesday, May 20, Mark de Jong, Chairman, CDN Alliance, will moderate the?Streaming Media Connect May panel "Origin to Edge: Video Caching and Content Delivery," with an all-star lineup including Wa...
5 UK scaleups enter TECH5 — the ‘Champions League of Tech’
Five standout scaleups from the UK have made it into TECH5 — the “Champions League of Technology.” The selections complete the UK and Ireland regional round of the tournament, which will now c...