Data Science at Home
Episodes

Aug 31, 2021
Aug 31, 2021
16 min
Remember GANs? Generative Adversarial Networks for synthetic data generation? There is a new method called Generative Teaching Networks, that uses similar concepts - just quite the opposite :P - to train models faster, better and with less data.
Enjoy the show!
Our Sponsors
Quantum Metric
Stay off the naughty list this holiday season by reducing customer friction, increasing conversions, and personalizing the shopping experience. Want a sneak peak? Visit us at quantummetric.com/podoffer and see if you qualify to receive our “12 Days of Insights” offer with code DATASCIENCE. This offer gives you 12-day access to our platform coupled with a bespoke insight report that will help you identify where customers are struggling or engaging in your digital product.
Amethix Technologies
Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.
References
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data https://arxiv.org/abs/1912.07768
Aug 31, 2021
16 min

Aug 24, 2021
CSV sucks. Here is why. (Ep. 166)
Aug 24, 2021
Aug 24, 2021
20 min
It's time we get serious about replacing the CSV format with something that, guess what? it has been around for so long.
In this episode I explain the good parts of CSV files and the not so good ones. It's time we evolve to something better.
Our Sponsors
Quantum Metric
Stay off the naughty list this holiday season by reducing customer friction, increasing conversions, and personalizing the shopping experience. Want a sneak peak? Visit us at quantummetric.com/podoffer and see if you qualify to receive our “12 Days of Insights” offer with code DATASCIENCE. This offer gives you 12-day access to our platform coupled with a bespoke insight report that will help you identify where customers are struggling or engaging in your digital product.
Amethix Technologies
Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.
Aug 24, 2021
20 min

Aug 17, 2021
Aug 17, 2021
30 min
Is reinforcement learning sufficient to build truly intelligent machines? Listen to this episode to find out.
Our Sponsors
Quantum Metric
Stay off the naughty list this holiday season by reducing customer friction, increasing conversions, and personalizing the shopping experience. Want a sneak peak? Visit us at quantummetric.com/podoffer and see if you qualify to receive our “12 Days of Insights” offer with code DATASCIENCE. This offer gives you 12-day access to our platform coupled with a bespoke insight report that will help you identify where customers are struggling or engaging in your digital product.
Amethix Technologies
Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.
References
https://bdtechtalks.com/2021/06/07/deepmind-artificial-intelligence-reward-maximization/
https://pub.towardsai.net/building-reinforcement-learning-agents-that-learn-to-collaborate-and-compete-at-the-same-time-d081fea942d2
https://towardsdatascience.com/intro-to-reinforcement-learning-temporal-difference-learning-sarsa-vs-q-learning-8b4184bb4978
Aug 17, 2021
30 min

Aug 11, 2021
What's happening with AI today? (Ep. 164)
Aug 11, 2021
Aug 11, 2021
25 min
In this episode I have a wonderful chat with Ronald Schmelzer and Kathleen Walch, authors of "AI Today" the top podcast for those wanting a no-hype, practical, real-world insight into what enterprises, public sector agencies, thought leaders, leading technology companies, pundits, and experts are doing with AI today.
Sponsored by Quantum Metric
Did you know that 2021 holiday ecommerce sales are expected to exceed 2020 benchmarks?
Are you prepared to capture every customer revenue opportunity?
With Quantum Metric, you can be.
Visit their website at quantummetric.com/podoffer and see if you qualify to receive their “12 Days of Insights” offer with code DATASCIENCE. This offer gives you 12-day access to the platform coupled with a bespoke insight report that will help you identify where customers are struggling or engaging in your digital product.
Sponsored by Amethix Technologies
Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.
Links
AI Today podcast: http://aitoday.live/
CPMAI Methodology: https://www.cognilytica.com/cpmai-methodology/
Aug 11, 2021
25 min

Aug 3, 2021
Aug 3, 2021
24 min
Our Sponsor
Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.
References
Fisher, Aaron, Cynthia Rudin, and Francesca Dominici. “Model Class Reliance: Variable importance measures for any machine learning model class, from the ‘Rashomon’ perspective.” http://arxiv.org/abs/1801.01489 (2018).
Python SHAP https://github.com/slundberg/shap
Aug 3, 2021
24 min