Being in the field of data science and machine learning, you might quickly realize that things are moving pretty fast. For that matter, adopting the “student for life” mindset is what would help you to stay up-to-date and but also to expand your toolbox. For myself, I tend lean towards structured programs allowing me to combine theory and practice into one offering. I registered to do the Machine Learning DevOps nanodegree programme from Udacity which focuses on building DevOps skills required to automate the various aspects and stages of machine learning model building and monitoring.

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I recently started my Fall semester with Georgia Institute of Technology doing the course ISYE6748: Applied Analytics Practicum. The objective of this course is to give an opportunity to students to apply their data science knowledge to solve real business problems. You can find out more about the course via this link. The project that I chose to work on is to help a US-based startup with extraction and categorization of information from PDF documents.

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