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 operationalise 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 scikit-learn, 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
Register here
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