Josh SullivanModel Versioning: Reduce Friction. Create Stability. AutomateThe research and development ( R&D) phase of building an AI model to address a business problem is characterized by rapid exploration and…Apr 15, 2021Apr 15, 2021
Josh SullivanModel Training: Our Favorite Tools in the ShedWelcome to the second installment of our ModelOps blog series, where we dive deep into the next step in the ModelOps pipeline, Model…Apr 6, 2021Apr 6, 2021
Josh SullivanDeploying AI at ScaleContainers. Microservices. Kubernetes. Where to begin?Jan 22, 2021Jan 22, 2021
Josh SullivanDealing with data imbalance in machine learningData imbalance, or imbalanced classes, is a common problem in machine learning classification where the training dataset contains a…Jan 20, 2021Jan 20, 2021
Josh SullivanMachine Learning Training Data SecurityThe effectiveness and predictive power of machine learning models is highly dependent on the quality of data used during the training…Jan 18, 2021Jan 18, 2021
Josh SullivanModelOps: The Key to Unlocking the Future of AIOnly about half of all machine learning models actually get deployed. Far fewer produce real value. Many early adopters have invested…Jan 17, 2021Jan 17, 2021
Josh SullivanTransfer Learning & RetrainingIn simple terms, transfer learning is a machine learning approach where a model that is already trained on a specific data set and…Jan 16, 2021Jan 16, 2021
