Peter Norvig explains probability modelling. Peter gave a similar talk at Parc, covering how Google Translate works by overlapping segments of results and probability to improve the translation model. During beta the translated results can be voted on / and improved by real people. Combining big data sets and human tuning seems to simplify and improve algorithms results faster than waiting for an artificial intelligence.
Bits and pieces that caught my attention about enterprise connected consumer technologies
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