685: Tools for Building Real-Time Machine Learning Applications, with Richmond Alake
Show notes
Richmond Alake, a Machine Learning Architect at Slalom Build, sits down with Jon to share real-time ML insights, tools and career experiences for a high-energy and high impact episode. From his work at Slalom Build to his two AI startups, discover the software choices, ML tools, and front-end development techniques used by a leader in the field. This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • What is a Machine Learning Architect? [03:09] • Richmond's startups [12:07] • Why Richmond started a podcast [29:51] • Richmond's new course on feature stores [38:05] • Why Richmond produces data science content [43:25] • Why All Data Scientists Should Write [51:30] Additional materials: www.superdatascience.com/685
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