Turning again to deep learning we have Bill Gold talking to us about LSTM models.

Thank you to AT&T Labs for hosting us.

About the Talk:
Deep learning models can be highly effective at finding patterns contained in unstructured data. The impact on our lives from these deep learning models is profoundly redefining consumer products & business processes. However, deep learning is a black box often using millions of activations.

As a result, businesses that value explainability resist or do not leverage deep learning. For example, some risk, compliance & legal stakeholders resist using deep learning. The topic of this presentation is training & explaining behaviors, strengths & gaps in deep learning & natural language processing (NLP) with Long Short-Term Memory (LSTM) models.

About BIll:
Bill Golds career intersects data science, management consulting & technology. He has delivered $500MM+ in ROI to financial services, healthcare & legal clients. Across the customer lifecycle hes trained & deployed: hundreds of models (some patented), commercial software & data science infrastructure with trillions of transactions & hundreds of terabytes of data, all servicing thousands of data scientists.

Bill guest lectures at Columbia & NYU, is working toward an MS in Computer Science & Machine Learning from Georgia Tech (expected 2022) & has a BS in Electrical Engineering from Hofstra University.

Pizza (bit.ly/pizzapoll) begins at 6:30, the talk starts at 7, then after we head to the local bar.