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

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