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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ML 009: Effective Machine Learning in Academia and Industry with Hassan Kane

ML 009: Effective Machine Learning in Academia and Industry with Hassan Kane

In this week’s episode of Adventures in Machine Learning we have Hassan Kane, data scientist lead at Entropy Labs. Hassan discusses his journey from being raised in Ivory Coast, Africa to getting his ...

13 Okt 202018min

ML 008: TensorFlow.js and YOU with Jason Mayes

ML 008: TensorFlow.js and YOU with Jason Mayes

TensorFlow is a machine learning library that allows a user to program deep learning architectures. It is normally associated with backend programming languages like Python and is written in C++, but ...

6 Okt 202046min

ML 007: Computer Vision & AI Scientist with Beril Sirmacek

ML 007: Computer Vision & AI Scientist with Beril Sirmacek

Beril Sirmacek is a data scientist and an assistant professor at Jonkoping University. She explains what computer vision is, what type of projects are done with it, and her own work regarding it. Spo...

29 Sep 202040min

ML 006: Mad Science AI with Benson Ruan

ML 006: Mad Science AI with Benson Ruan

Benson Ruan talks about his experiences as a machine learning tech lead for a fintech company in Sydney, Australia. He goes over his education in machine learning from Coursera, especially doing Andre...

22 Sep 202036min

ML 005: Transfer Learning for NLP with Daniel Svoboda

ML 005: Transfer Learning for NLP with Daniel Svoboda

One of the hottest fields right now in machine learning is natural language processing. Whether it’s getting sentiment from tweets, summarizing your documents, sarcasm detection, or predicting stock t...

15 Sep 202054min

ML 004: Automated Machine Learning ML with Jorge Torres

ML 004: Automated Machine Learning ML with Jorge Torres

Implementing deep learning algorithms require knowledge of various DL libraries, how to interface outside files or streaming data to it, along with tuning all sorts of parameters. Deep Learning also d...

11 Sep 202051min

ML 003: Your GPU Brain with Robert Plummer

ML 003: Your GPU Brain with Robert Plummer

Machine learning is a complex subject that requires knowledge in many various subjects such as linear algebra, probability, algorithms, calculus, etc. But what if you could simplify machine learning t...

10 Sep 202046min

ML 002: DeOldify Your Life with Jason Antic

ML 002: DeOldify Your Life with Jason Antic

GANS are one of the revolutionary breakthroughs in machine/deep learning as they are able to create authentic facial images. One of the latest breakthroughs has been with reconstructing actual images ...

9 Sep 20201h 5min

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