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Machine Learning for Beginners
Manage episode 298166067 series 2954890
If your organization is new to Machine Learning (ML), there are some best practices and common pitfalls you must be aware of. Often, organizations become interested in the promise of ML, or they want to play catch-up with their competitors, and they decide that it’s time to adopt ML too. But it’s not something that happens just because you want it. Often, leaders don’t know what problems ML can solve for or how to make the right business case to reach great results. To be successful, you must first build a strong core team comprised of the right cross functional talent who know the best practices to follow and pitfalls to avoid. In this podcast, Vinnie Schoenfelder, Tom Estella and Ramon Matos dive in on the details of making your new ML initiatives work, and yield powerful results.
46 episodes
Manage episode 298166067 series 2954890
If your organization is new to Machine Learning (ML), there are some best practices and common pitfalls you must be aware of. Often, organizations become interested in the promise of ML, or they want to play catch-up with their competitors, and they decide that it’s time to adopt ML too. But it’s not something that happens just because you want it. Often, leaders don’t know what problems ML can solve for or how to make the right business case to reach great results. To be successful, you must first build a strong core team comprised of the right cross functional talent who know the best practices to follow and pitfalls to avoid. In this podcast, Vinnie Schoenfelder, Tom Estella and Ramon Matos dive in on the details of making your new ML initiatives work, and yield powerful results.
46 episodes
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