Whenever there is a new announcement or breakthrough with AI, it always strikes me how out of reach the results would be to replicate for individuals and small organizations. Machine learning algorithms, and especially deep learning with neural networks, are often so computationally expensive that they are infeasible to run without immense computing power. As… Continue reading AI computing requirements
Tag: scalability
Product similarities and relations
This post is about Antecons, a product recommendation engine, now part of Conversio. Antecons is no longer commercially available, but I have kept my developer diary on my website with permission. I recently started to implement a feature that analyzes similarities and relations between products and factors this analysis into the recommendations that are created.… Continue reading Product similarities and relations
Frequent patterns and MapReduce
This post is about Antecons, a product recommendation engine, now part of Conversio. Antecons is no longer commercially available, but I have kept my developer diary on my website with permission. The first data mining algorithm that was implemented for Antecons was Frequent Pattern growth (FP-growth) which is an algorithm that finds frequent patterns in… Continue reading Frequent patterns and MapReduce