WEBINAR: Putting the Science Back in Data Science - 26 May 2021

 

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Putting the Science Back in Data Science May 26, 2021 | 11.00 am ET - 60 min including Q&A Register now Hi there, Do you remember the old days when you had hand-code Gradient Descent or manually tune your hyperparameters? Over the last 20 years, the machine learning tool stack has improved considerably and now includes tools like Keras and Scikit. DataRobot has kept pace with this acceleration and offers a wide set of tools for data scientists. In this webinar, we show how to extend Python to try multiple modeling approaches (anomaly, time series, multiclass), create sophisticated feature engineering across multiple datasets, and even build hundreds of diverse models with a few lines of code. We’ll discuss how data scientists save time, get more accurate results, and most important, create value for their organizations. During this webinar, you will learn: How you can use Python with DataRobot to build powerful model factories How you can use Feature Discovery to accelerate feature engineering and improve your models How to eliminate AI-related risks by adopting MLOps and automatic model retraining Register now