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AutoML in Practice

The compelling Oct. 15, 2019 presentation below is on behalf of one of my favorite Meetup groups: LA Machine Learning. The talk, “AutoML in Practice,” is by Danny D. Leybzon, a Solutions Architect at Qubole, a cloud-native big data platform. Automated Machine Learning (AutoML) is one of the hottest topics in data science today, but what does it mean? This presentation gives a broad overview of AutoML, ranging from simple hyperparameter optimization all the way to full pipeline automation.

DataRobot Enhances Enterprise AI Platform, Further Automating the Path from Data to Value

DataRobot, a leader in enterprise AI, unveiled new features to its Enterprise AI platform designed to automate the entire end-to-end data science process, introducing an AI Catalog and next-generation automated feature engineering.

Splice Machine Launches ML Manager Beta Program to Meet the Growing Demand for Operational AI

Splice Machine, the operational artificial intelligence (AI) data platform, announced the launch of a beta program for ML Manager, a native data science and machine learning platform. Operating on top of Splice Machine’s data platform, ML Manager empowers data science teams to maximize the performance of their machine learning models by removing the latency associated with building complex data pipelines, performing cumbersome transformations and training models on updated data.