Adventures in Machine Learning

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.

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The Science-Engineering Blend - ML 146

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Published : Apr 04, 2024

Duration : 0 Minutes

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Ben and Michael dive into the dynamic relationship between engineers and scientists in the realms of software engineering and physical science. They explore the differences and similarities between these roles, sharing valuable insights on the research and testing processes, the importance of thorough research, the value of teamwork, and the challenges of transitioning between engineering and science. With analogies, real-world examples, and expert perspectives, they shed light on the intricacies of these roles and the considerations for hiring scientists and engineers based on company size and market effects. Tune in for a thought-provoking discussion on finding the optimal path between efficiency and innovation in the world of technology and research!

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Adventures in Machine Learning Machine Learning for Movie Scripts - ML 106
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Adventures in Machine Learning The Role of Open Source in Modern Development Practices - ML 170
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Adventures in Machine Learning ML 021: Grokking Deep Reinforcement Learning with Miguel Morales
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Adventures in Machine Learning Writing Production Code for ML ft. Ken Youens-Clark - ML 041
Adventures in Machine Learning The Impact of Process on Successful Tech Companies - ML 145
Adventures in Machine Learning Time Series Models in Machine Learning - ML 087
Adventures in Machine Learning ML 008: TensorFlow.js and YOU with Jason Mayes
Adventures in Machine Learning Business Objectives and KPIs with Michael Berk
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Adventures in Machine Learning Transforming Recruitment with AI: Surveys, Sentiment, and Data-Driven Insights - ML 161
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Adventures in Machine Learning

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The Science-Engineering Blend - ML 146

Show Notes

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