A couple weeks ago, I had the opportunity to sit down in the studio with Patrick Smith. Patrick brings Natural Language Processing (NLP) expertise as it relates to deep learning and neural networks. His work in the financial quant. area before joining Excella Consulting offers an incredible insight into the mathematical rigors that are crucial for the data scientist to master. Listen as Patrick offers his take on what is current and on the horizon in data science consulting!
Bio:
Patrick Smith is the data science lead at Excella in Arlington, Virginia, where he developed the data science practice. Previously, he both led and helped create the data science program at General Assembly in Washington, DC, as was a data scientist with Booz Allen Hamilton’s Strategic Innovations Group. Prior to data science, Patrick worked in risk and quantitative securities analysis, and institutional portfolio management. He has his B.A. in Economics from The George Washington University and has done masters work at Harvard and Stanford Universities in AI and computer science.Patrick is passionate about AI and deep learning and has contributed to significant research and development projects as part of Excella’s artificial intelligence research effort. He architected Excella’s DALE intelligent assistant solution which provides state of the art results in question answering tasks and is the author of an upcoming book on Artificial Intelligence.
Favorite Data Books:
Sites that Keep Patrick Current:
- https://medium.com/@karpathy/ : Karpathy’s Blog, excellent for learning
- http://colah.github.io/ – Likewise, excellent for learning
- https://arxiv.org/list/stat.ML/recent – Just arxiv’s repository for machine learning papers, but honestly you can find some good stuff here.
How to Contact Patrick:
- patrick.smith@excella.com
- https://www.linkedin.com/in/patrickdylansmith/
