8 Projects To Kickstart Your MLOps Journey In 2021

MLOps follows a set of practices to deploy and maintain machine learning models in production efficiently and reliably. While the data science team has a deep understanding of the data, the operations team holds the business acumen. MLOps combines the expertise of each team, leveraging both data and operations skill sets to enhance ML efficiency. According to the Algorithmia report, nearly 22 percent of companies have had ML models in production for one to two years. With practice, MLOps professionals can enhance their skills, and develop a solid pipeline for developing machine learning models.