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14min chapter
Google, Gemini, Cloud & LLMOps with Erwin Huizenga #46
AI Stories
Transition to Machine Learning at Google Cloud
This chapter narrates the speaker's journey from a generic cloud engineer role to specializing in machine learning at Google Cloud, emphasizing the rising significance of data science and machine learning in the industry. It explores the impact of cloud computing on machine learning, highlighting the evolution from physical servers to seamless cloud provisioning and the transition towards user-friendly platforms like TensorFlow. The chapter underscores the ease and efficiency of cloud infrastructure for data scientists and machine learning engineers, recommending foundational skills like Linux, containers, and SQL alongside hands-on experience for impactful AI work.
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