Do you love Jupyter Notebooks? How quickly are your open source data science projects going live? Did you know now you can use AutoAI or SPSS Modeler to speed model development? 

With IBM, you can put your favorite tools to work —open source, IBM and IBM eco system tools. Join this 2-part technical deep dive Webinars and learn how to succeed in data science and AI from the IBM data scientists.

Part 1: Build and deploy Notebooks for better predictions

• Start your open source projects right and fast
• Collaborate in data prep, model development and deployment
• Tips and trick to get your data science project on the right path

Part 2: Bring natural language and images to improve results

• Analyze text, and label it and organize data sets
• Categorize results and extract better insights
• Increase accuracy without requiring a lot of training data.

This live interactive Webinar series gives you a chance to learn the best practices and pragmatic ideas on succeeding in data science projects.