Curiosity satisfied
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“While watching a NOVA episode “Prediction by the Numbers,” I heard ‘With so-called "black box" machine learning applications like the computer scientist’s: no one, including the computer scientist, knows how it detects skin cancer.... it just does.’ While the statement has some truth, one could be left with the impression that machine learning just happens on its own, without any supporting technology, which is incredulous. Being curious, but willing to dedicate only a small amount of time to study machine learning, I started to listen to this audio podcast while exercising and doing chores. The speaker orally explains these concepts very well. He uses analogies, repetition, summaries, and reviews. I appreciated all of the episodes except for the one on consciousness. Even the later episodes, which were deeper than my curiosity needed to be satisfied, reinforced the earlier concepts, often because of the reviews. My background helped: engineering with its math requirements, although weak in statistics, and with a minimal amount of non-professional programming. Yet I did not have any machine learning exposure. Still, after listening to the podcast, I think that I could explain some of the simpler concepts to someone.”Read full review »
TBPSound via Apple Podcasts ·
United States of America ·
03/29/18
More reviews of Machine Learning Guide
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Palene99 via Apple Podcasts ·
Germany ·
04/15/17
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“Clear, concise and very thoughtful. An amazing way to get into the field. Very good analogies for visual understanding. Thank you for taking the time to create such a good resource!”
Robert Eles via Apple Podcasts ·
Great Britain ·
02/01/18
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“An informative guide into machine learning and learning resources of this field. Totally comprehensible for those without computer science/mathematics background. It's a pleasure to kick off learning with this guide!”
rstlgs via Apple Podcasts ·
China ·
06/17/17
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