February 2018
Intermediate to advanced
378 pages
10h 14m
English
Content preview from Machine Learning with Swift
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Vector space properties
"The Hatter opened his eyes very wide on hearing this; but all he SAID was, 'Why is a raven like a writing-desk?'
'Come, we shall have some fun now!' thought Alice. 'I'm glad they've begun asking riddles. - I believe I can guess that,' she added aloud.
'Do you mean that you think you can find out the answer to it?' said the March Hare."
– Lewis Carroll, Alice in a Wonderland
Why is a raven like a writing desk? With the help of distributive semantic and vector word representations, finally we can help Alice to solve Hatter's riddle (in a mathematically precise way):
In [42]: model.most_similar('house', topn=5) Out[42]: [(u'camp', 0.8188982009887695), (u'cabin', 0.8176383972167969), (u'town', 0.7998955845832825), (u'room', ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.