$Fast Times at the Hub

$Fast Times at the Hub

Fast Times at the Hub

AI and FastAPI: Wesley Giles is going to focus his Dynamic Language talk to implementing an AI within a FastAPI application.

Financial Machine Learning I: Pilar Orellana, In this note, we showcase optimization techniques for an artificial neural network with respect to stock price prediction. If time permits, we'll discuss the role of the Black-Scholes model, option strikes, and second and third order Greeks in Machine Learning.

Memory in LangChain: Evelyn Boettcher will talk about how LangChain can be used to give your ChatGPT memory within your application.

Future Topic ideas:

  • MLFlow: Brief overview what it is and why you should switch.
  • Multi Arm Bandit: Why and how you should be using this to design your experiments.
  • Data: Your algorithm is only as good as your data. DVA promises to help you keep track of any changes you made and when to your data. Does it live up to the hype? Is it really git for your data?
  • Training Techniques: Have you start using the classroom technique. What training techniques do you utilize.

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