Deep Learning with TensorFlow Deep learning, also known as deep structured learning or hierarchical learning, is a type of machine learning focused on learning data representations and feature learning rather than individual or specific tasks. Feature learning, also known as representation learning, can be supervised, semi-supervised or unsupervised. Deep learning architectures include deep neural networks, […]
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Nathan Fay is a associate vice president of prospect development at City of Hope, one of the nations top National Cancer Institutes. He provides leadership to the areas of BI, grateful patients, and prospect development. Nathan is working on a couple of books called “Precision Prospect Development” and “Precision Philanthropy: Using AI to Solve World’s […]
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Mark Peterson, ex-Division Chief, Data and Analytics at US Global Development Lab, USAID, founded a team to create new ways to generate, share, and analyze data to more effectively meet the challenges of poverty, hunger, and disease. He brings amazing knowledge and experience of research as a scientist and a practitioner. Currently, he is researching […]
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David Lawson sure knows about big data, AI, and philanthropy. He built various successful data companies and is the author of the book: Big Good – Philanthropy in the Age of Big Data & Cognitive Computing. In this podcast, you will hear from David about: Why AI won’t steal our jobs What’s next for philanthropy […]
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Rodger Devine knows about change. He used to be in the backroom writing client-server management tools and keeping the servers up. Now, he leads leadership annual giving program as well as data analytics and advancement operations at one of the largest colleges at USC. In this talk, we discuss: Change management Barriers to analytics adoption Shifting perspectives […]
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