Bill Gold - Training & Explaining: Demystifying Long Short-Term Memory (LSTM) Behaviors
Channel: Lander Analytics
Date: 2019-08-23

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 and 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 and legal stakeholders resist using deep learning. The topic of this presentation is training & explaining behaviors, strengths and gaps in deep learning and natural language processing (NLP) with Long Short-Term Memory (LSTM) models.

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

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