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Entrevista a Cristina Díaz

Talkat AdaLoversConf 2019 · on Saturday, 2019-09-28· [machine-learning, cloud-infrastructure]
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Recommends beginning ML/AI with Google Cloud workshops for hands‑on basics or with TensorFlow as the common entry path; says concrete learning comes from small guided labs that reinforce concepts. Claims cloud hosting lets teams pay only for needed capacity, avoid buying hardware, and rely on providers to provision instances and handle managed load balancing and auto‑scaling so deployments scale automatically without manual infrastructure setup.

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