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Some time ago I met a colleague who expressed her disappointment from two data scientists that she hired. These were the first employees with a data science degree hired by that company, and apparently did not meet the high expectations. She felt that in some cases the data scientists did not do work she could not do without them, and in other cases did not provide very useful insights.
I do not have specific information about the training and background of these two data…Continue
In addition to the common use of speech-to-text algorithms, analysis of audio data can provide important knowledge. From sounds made by mechanical devices that pre-cursor an approaching failure to monitoring the dynamics of a crowd of people, audio data can provide important insights.
Fortunately, when using existing building blocks, automatic analysis of audio data is not a complicated task. One effective approach is using an audio feature extraction library, followed by…Continue
In the recent years academia has been making efforts to adjust to the growing demand for data science and data scientists. These include academic journals dedicated to data science and big data, as well as scientific meetings and conferences. But despite these signs of interest in data science, it is still difficult to consider data science as an academic discipline.
Many universities have recently started to offer academic degrees in data science, and data science programs…Continue
Deep learning has provided the world of data science with highly effective tools that can address problems in virtually any domain, and using nearly any kind of data. However, the non-intuitive features deduced and used by deep learning algorithms require a very careful experimental design, and a failure to meet that requirement can lead to miserably flawed results, regardless of the quality of the data or the structure of the deep learning network.
I first noticed such flaws almost…Continue