DiscoverMining Stock EducationHow to Identify “Unicorn” Gold Deposits via Machine Learning with Analyst Joe Mazumdar
How to Identify “Unicorn” Gold Deposits via Machine Learning with Analyst Joe Mazumdar

How to Identify “Unicorn” Gold Deposits via Machine Learning with Analyst Joe Mazumdar

Update: 2024-07-24
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Joe Mazumdar of Exploration Insights explains how machine learning can help identify potential “unicorn” gold deposits. He also shares why Victoria Gold failed and how this affects not only the Yukon, but also other Canadian provinces. Joe, furthermore, discusses the importances of identifying red flags early on and offers his firsthand take on the recent Rick Rule Symposium.

Joe Mazumdar is co-editor and analyst at Exploration Insights. Joe has an extensive, multi-decade background in working for both mining companies and the financial institutions that cover and invest in mining equities. He possesses an excellent understanding of geology, the process of exploration and development, and what it takes to run and finance a mining company.

0:00 Introduction
0:57 Rick Rule Symposium sentiment
2:35 Machine learning helps identify “unicorn” gold deposits
9:25 Would machine learning predicted Eagle mine’s failure?
12:32 Mining accident negative news amplified
15:03 Yukon difficulties could spill over into other provinces
17:55 Recent impressive junior mining financings
22:16 Permitting private land more attractive than federal land challenges
27:06 Identify red flags early
28:38 Is the junior mining sector markets more efficient (than 20yrs ago)?
31:56 Computers writing stock articles

Joe Mazumdar’s website: https://www.explorationinsights.com/
Follow Joe on Twitter: https://twitter.com/JoeMazumdar

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How to Identify “Unicorn” Gold Deposits via Machine Learning with Analyst Joe Mazumdar

How to Identify “Unicorn” Gold Deposits via Machine Learning with Analyst Joe Mazumdar

Bill Powers