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 Joe Mazumdar’s website: https://www.explorationinsights.com/ Follow Joe on Twitter: https://twitter.com/JoeMazumdar Sign up for our free newsletter and receive interview transcripts, stock profiles and investment ideas: http://eepurl.com/cHxJ39 Mining Stock Education offers informational content based on available data but it does not constitute investment, tax, or legal advice. It may not be appropriate for all situations or objectives. Readers and listeners should seek professional advice, make independent investigations and assessments before investing. MSE does not guarantee the accuracy or completeness of its content and should not be solely relied upon for investment decisions. MSE and its owner may hold financial interests in the companies discussed and can trade such securities without notice. MSE is biased towards its advertising sponsors which make this platform possible. MSE is not liable for representations, warranties, or omissions in its content. By accessing MSE content, users agree that MSE and its affiliates bear no liability related to the information provided or the investment decisions you make. Full disclaimer: https://www.miningstockeducation.com/disclaimer/