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Content provided by Clint Campbell. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Clint Campbell or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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EP. 206: Predicting Buck Movement

1:42:26
 
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Manage episode 279056697 series 1084973
Content provided by Clint Campbell. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Clint Campbell or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Brought to you by Skull Brew Coffee Co.

Today I'm joined by Bill Thompson of Spartan Forge. Bill uses his background in military intelligence and machine learning to develop the only app that uses big data to predict deer movement. Bill has gone to great lengths to develop something that is rooted in the facts presented by data...not subjective human observation. Spartan Forge can tell you the that "what"...your hunters intuition will tell you the "why" - thanks for listening!

To listen to the podcast click the orange play button at the top of the page. You can also download the podcast via iTunes, Stitcher Radio and Google Play—don’t forget to share with your friends! If you like the podcast, please leave us a 5 star iTunes rating…we’d really appreciate it.

Click here to listen/subscribe on iTunes (best for iOS devices)

Click here to listen/subscribe on Stitcher (best for Android devices)

Click here to listen/subscribe on Google Play Music (another option for Android devices)

WHAT TO EXPECT FROM PODCAST #206: —Military intel and machine learning

—Where the data is coming from

—What is creating movement

—Difference between normal and abnormal movement

—And much more

SHOW NOTES AND LINKS: —Support our partners: Exodus Outdoor Gear , & Tethrd

—Save up to 30% on SITKA Gear

—Free Ground shipping on all SITKA Gear

—Check out Maven optics

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

387 episodes

Artwork
iconShare
 
Manage episode 279056697 series 1084973
Content provided by Clint Campbell. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Clint Campbell or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Brought to you by Skull Brew Coffee Co.

Today I'm joined by Bill Thompson of Spartan Forge. Bill uses his background in military intelligence and machine learning to develop the only app that uses big data to predict deer movement. Bill has gone to great lengths to develop something that is rooted in the facts presented by data...not subjective human observation. Spartan Forge can tell you the that "what"...your hunters intuition will tell you the "why" - thanks for listening!

To listen to the podcast click the orange play button at the top of the page. You can also download the podcast via iTunes, Stitcher Radio and Google Play—don’t forget to share with your friends! If you like the podcast, please leave us a 5 star iTunes rating…we’d really appreciate it.

Click here to listen/subscribe on iTunes (best for iOS devices)

Click here to listen/subscribe on Stitcher (best for Android devices)

Click here to listen/subscribe on Google Play Music (another option for Android devices)

WHAT TO EXPECT FROM PODCAST #206: —Military intel and machine learning

—Where the data is coming from

—What is creating movement

—Difference between normal and abnormal movement

—And much more

SHOW NOTES AND LINKS: —Support our partners: Exodus Outdoor Gear , & Tethrd

—Save up to 30% on SITKA Gear

—Free Ground shipping on all SITKA Gear

—Check out Maven optics

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

387 episodes

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