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Machine Learning in Rust: Amadeus with Alec Mocatta [RB] (ep. 127)
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Top-3 ways to put machine learning models into production (Ep. 126)
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Remove noise from data with deep learning (Ep.125)
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What is contrastive learning and why it is so powerful? (Ep. 124)
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Neural search (Ep. 123)
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How to test machine learning in production (Ep. 121)
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Machine learning in production: best practices [LIVE from twitch.tv] (Ep. 119)
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Testing in machine learning: checking deeplearning models (Ep. 118)
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Testing in machine learning: generating tests and data (Ep. 117)
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GPT-3 cannot code (and never will) (Ep. 114)
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Make Stochastic Gradient Descent Fast Again (Ep. 113)
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What data transformation library should I use? Pandas vs Dask vs Ray vs Modin vs Rapids (Ep. 112)
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[RB] It’s cold outside. Let’s speak about AI winter (Ep. 111)
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Rust and machine learning #3 with Alec Mocatta (Ep. 109)
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Rust and machine learning #2 with Luca Palmieri (Ep. 108)
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Rust and machine learning #1 (Ep. 107)
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Protecting workers with artificial intelligence (with Sandeep Pandya CEO Everguard.ai)(Ep. 106)
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Compressing deep learning models: rewinding (Ep.105)
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Compressing deep learning models: distillation (Ep.104)
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Pandemics and the risks of collecting data (Ep. 103)
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Why average can get your predictions very wrong (ep. 102)
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Activate deep learning neurons faster with Dynamic RELU (ep. 101)
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WARNING!! Neural networks can memorize secrets (ep. 100)
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Attacks to machine learning model: inferring ownership of training data (Ep. 99)
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