Are you working on or considering a machine learning project? On this episode, we'll meet three people from the MLOps community: Demetrios Brinkmann, Kate Kuznecova, and Vishnu Rachakonda. They are here to tell us about the lifecycle of a machine learning project. We'll talk about getting started with prototypes and choosing frameworks, the development process, and finally moving into deployment and production.<br/>
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<strong>Links from the show</strong><br/>
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<div><b>Demetrios Brinkmann</b>: <a href="https://twitter.com/DPBrinkm" target="_blank" rel="noopener">@DPBrinkm</a><br/>
<b>Kate Kuznecova</b>: <a href="https://www.linkedin.com/in/kate-kuznecova/" target="_blank" rel="noopener">linkedin.com</a><br/>
<b>Vishnu Rachakonda</b>: <a href="https://www.linkedin.com/in/vrachakonda/" target="_blank" rel="noopener">linkedin.com</a><br/>
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<b>MLOps Community</b>: <a href="https://mlops.community" target="_blank" rel="noopener">mlops.community</a><br/>
<b>Feature stores</b>: <a href="https://mlops.community/learn/feature-store/" target="_blank" rel="noopener">mlops.community</a><br/>
<b>Great Expectations</b>: <a href="https://github.com/great-expectations/great_expectations" target="_blank" rel="noopener">github.com</a><br/>
<b>source control: DVC</b>: <a href="http://dvc.org" target="_blank" rel="noopener">dvc.org</a><br/>
<b>StreamLit</b>: <a href="https://streamlit.io" target="_blank" rel="noopener">streamlit.io</a><br/>
<b>MLOps Jobs</b>: <a href="https://mlops.pallet.com/jobs" target="_blank" rel="noopener">mlops.pallet.com</a><br/>
<b>Made With ML Apps</b>: <a href="https://madewithml.com/" target="_blank" rel="noopener">madewithml.com</a><br/>
<b>Banana.dev</b>: <a href="https://www.banana.dev/" target="_blank" rel="noopener">banana.dev</a><br/>
<b>FastAPI</b>: <a href="https://fastapi.tiangolo.com/" target="_blank" rel="noopener">fastapi.tiangolo.com</a><br/>
<b>MLOps without too much Ops</b>: <a href="https://towardsdatascience.com/ml-and-mlops-at-a-reasonable-scale-31d2c0782d9c" target="_blank" rel="noopener">towardsdatascience.com</a><br/>
<b>NBDev</b>: <a href="https://nbdev.fast.ai/" target="_blank" rel="noopener">nbdev.fast.ai</a><br/>
<b>The "Works on My Machine" Certification Program</b>: <a href="https://blog.codinghorror.com/the-works-on-my-machine-certification-program/" target="_blank" rel="noopener">codinghorror.com</a><br/>
<b>Watch this episode on YouTube</b>: <a href="https://www.youtube.com/watch?v=SQERTZ190lA" target="_blank" rel="noopener">youtube.com</a><br/>
<b>Episode transcripts</b>: <a href="https://talkpython.fm/episodes/transcript/359/lifecycle-of-a-machine-learning-project" target="_blank" rel="noopener">talkpython.fm</a><br/>
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