Predict. Share. Deploy. With Open Data Science – Jan 20 Webinar
Building, tuning, sharing, deploying, and scaling predictive models is challenging, and rarely covered in statistics class. Learn how to make data science work in the real world in this webinar.
Machine learning and predictive analytics open up many new opportunities to create business value. From predicting new customers to meaningfully optimizing the business, data scientists can unlock incredible business value.
But building, tuning, sharing, deploying, and scaling these models is challenging, and rarely covered in statistics class. 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 our webinar on Wednesday, January 20th.
In this webinar, you'll learn to:
 Build predictive models with Anaconda and using Python packages, such as pandas and scikitlearn, in the Jupyter Notebook
 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
Christine will also conduct a Q&A session after the webinar  so tune in and get your data science questions answered.
PS  All webinar registrants will receive the recording, slides, and links to the Jupyter notebooks on Anaconda Cloud.
Any questions? Click here to contact us.
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