The Science-Engineering Blend - ML 146

The Science-Engineering Blend - ML 146

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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How to Create Team Utils - ML 122

How to Create Team Utils - ML 122

Have you ever written code and thought, "hmm, I wonder if my teammates would use this." Well in today's episode, we show you how to go from concept to production-level code. Spoiler alert: you're goin...

21 Heinä 20231h 4min

How to Get Sh*t Done - ML 121

How to Get Sh*t Done - ML 121

In today's episode, Michael and Ben break down some surefire methods to be successful. If you follow these tips, you are guaranteed to co-found the next Google. Some topics include time boxing excitin...

13 Heinä 202358min

ML at Netflix and How to Learn Deeply - ML 120

ML at Netflix and How to Learn Deeply - ML 120

In today's episode, we speak with Netflix ML engineer Amir Ziai. Expect to learn about building ML tools for stakeholders, the pros and cons of a Netflix-like culture, and Amir's strategy for learning...

30 Kesä 20231h 3min

How to get Promoted - ML 119

How to get Promoted - ML 119

In today's episode, we dive into Ben's experience in navigating the career ladder. Expect to learn why your leveling matrix is probably wrong and how you should actually spend your time to maximize ca...

23 Kesä 202348min

How does Search Work? - ML 118

How does Search Work? - ML 118

In today's episode, we speak with Roman Grebennikov, an expert in ranking algorithms. Expect to learn about his open source project, the difference between retrieval and ranking, and much more!Sponsor...

15 Kesä 202352min

How to Learn a New Tool - ML 117

How to Learn a New Tool - ML 117

In today's episode, we walk through Ben's experience creating the Hugging Face transformer flavor for ML flow. During this case study we highlight the structure he uses to learn new technologies and c...

8 Kesä 202358min

The Innovation Cycle of AI - ML 116

The Innovation Cycle of AI - ML 116

Today we speak with ex-Googler, Praveen Paritosh. He has over 20 years of experience as a research scientist and has worked on some of AI's most impactful projects. Expect to learn about scientific in...

25 Touko 20231h 9min

All Things Machine Learning - ML 115

All Things Machine Learning - ML 115

Host from the Ruby Rogues podcast, Dave Kimura joins Ben and Michael for this week's crossover episode. They discuss applying machine learning, deep learning, and algorithm. They also dive into how ar...

11 Touko 20231h 7min

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