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Why I started Machine Learning Casual Talks? #MLCT
This document discusses the start of the author's Machine Learning Casual Talks series. It aims to share practical know-how about machine learning applications that is often omitted from academic papers. Topics will include automated testing, key performance indicators, moving beyond just accuracy metrics, and the importance of development data. The author hopes to encourage sharing of real-world experience from their own work at Cookpad.
Why I started Machine Learning Casual Talks? #MLCT
- 1. Why I started MachineLearning Casual Talks? Michiaki Ariga (@chezou) @ DMM.com lab 2015/12/15
- 2. self • MLCT /JuliaTokyo / kawasaki.rb • Software Eng. at Cookpad • NLPデータマイニングチョットデキル • TinySegmenter.jl
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- 9. "Two large YCcompanies (both with machine learning teams) have told us that they consider interest in ML a negative signal." by Ammon Bartram https://data.triplebyte.com/who-y-combinator-companies-want- c1880a08ac88#.kkfadbkbi
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- 12. MLCTのテーマ 1. 自動テスト 2. KPI 3.Beyond accuracy 4. DevData
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