How to pronounce algorithms

Usage examples

• The source of bias in algorithms is usually the data it was trained on.
• Algorithms feed us news and media it thinks we will read.
• These algorithms belong to a more general category of Interactive evolutionary computation.
• This is what combining algorithms tell us.
• We cannot blame algorithms for failures.
• Most algorithms are not very sensitive to the type of normalization used.
• Most algorithms are not very sensitive to the type of normalization used.
• To estimate energy expenditure from the exhaled gases, several algorithms were developed.
• Protocols that hope to succeed in this respect need carefully designed self-monitoring, self-tuning algorithms.
• Symmetric algorithms tend to be faster than asymmetric ones.