Machine Learning Fundamentals, Part 2 with Shannon Wirtz
We continue our conversation with Shannon Wirtz, diving into ensemble methods, neural networks (including CNNs, RNNs, and Transformers), model training and evaluation techniques, interpretation methods, and practical learning resources for those getting started with ML.
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1:07:03
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1:07:03
Machine Learning Fundamentals, Part 1 with Shannon Wirtz
Shannon Wirtz, product analyst at Angi, joins us to demystify machine learning fundamentals. We explore what ML actually means, how it differs from traditional programming, and dive deep into core concepts including models, features, training data, and the various types of learning approaches.
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1:21:22
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1:21:22
Building on the BEAM: Exploring Erlang and Elixir, Part 2 with Shawn McCool
We continue our conversation with Shawn McCool, exploring the Elixir ecosystem including Phoenix's LiveView, Ecto's composable queries, Nerves for IoT, and LiveBook. We discuss when to use built-in BEAM capabilities versus external services, and dive into AI integration with Tidewave.
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40:49
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40:49
Building on the BEAM: Exploring Erlang and Elixir, Part 1 with Shawn McCool
Shawn McCool shares his journey from class-oriented programming to discovering the power of Erlang and Elixir. We explore the BEAM virtual machine, process isolation, message passing, and how Erlang's unique approach to fault tolerance and concurrency enables building more resilient systems.
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1:12:34
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1:12:34
The Life of a PostgreSQL Table, Part 2 with Bruce Momjian
Bruce Momjian returns to complete our journey through a PostgreSQL table's lifecycle. We explore how Postgres handles updates, table alterations, row deletions, and table drops - diving deep into MVCC, vacuuming, and the Write-Ahead Log.
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