Machine learning and predictive analytics open up many new opportunities to create business value. From predicting new revenue streams to meaningfully optimizing the business, data scientists can unlock incredible business value.
But building, tuning, sharing, deploying, and scaling analytic models is challenging, and rarely covered in statistics classes. How can you make data science work in the real world?
We are here to help - Continuum Analytics Data Scientist Christine Doig will teach you how to create, share, scale, and operationalize your models in this on-demand webinar.
In this webinar, you'll learn to:
Build predictive models with Anaconda and using Python packages, such as pandas and scikit-learn, in the Jupyter Notebooks
Use Anaconda and R together in your data science workflow
Share and collaborate with your team using Jupyter Notebooks
Scale out your work across hundreds of nodes with Anaconda