9 Distance Metrics used in #DataScience and #MachineLearning (advantages & pitfalls): https://t.co/vAyqtP2WfS ———— #BigData #AI #Statistics #Mathematics #DataScientists #DataLiteracy ——— 🌟👉➕See 700+ page book "Encyclopedia of Distances" (3rd edition): https://t.co/kDXfFwxSgG https://t.co/aTTKs8SNNU

- 3월 16, 2022

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9 Distance Metrics used in #DataScience and #MachineLearning (advantages & pitfalls): https://t.co/vAyqtP2WfS ———— #BigData #AI #Statistics #Mathematics #DataScientists #DataLiteracy ——— 🌟👉➕See 700+ page book "Encyclopedia of Distances" (3rd edition): https://t.co/kDXfFwxSgG https://t.co/aTTKs8SNNU
— Kirk Borne (@KirkDBorne) Mar 16, 2022

9 Distance Metrics used in #DataScience and #MachineLearning (advantages & pitfalls): https://t.co/vAyqtP2WfS ———— #BigData #AI #Statistics #Mathematics #DataScientists #DataLiteracy ——— 🌟👉➕See 700+ page book "Encyclopedia of Distances" (3rd edition): https://t.co/kDXfFwxSgG https://t.co/aTTKs8SNNU https://twitter.com/KirkDBorne/status/1504068255421509638 https://t.co/vAyqtP2WfS March 16, 2022 at 09:13PM

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