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From notebooks to Netflix scale with Metaflow
Practical AI: Machine Learning, Data Science, LLM
Is There a Tooling That Can Help With Machine Learning?
Many data projects fail cases is because people aren't able to push a project far enough into a prototype stage, says Licky. Technical hurdles still remain but there are other things companies should be focusing on when it comes to machine learning - like understanding the problem domain and business needs. "I do hope that legwe managed to kind of raise that level of abstraction even more," he adds.
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