685: Tools for Building Real-Time Machine Learning Applications, with Richmond Alake

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 (https://posit.co), by AWS Inferentia (go.aws/3zWS0au), and by https://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