Data Science at Home
Episodes
Tuesday Aug 31, 2021
Don't fight! Cooperate. Generative Teaching Networks (Ep. 167)
Tuesday Aug 31, 2021
Tuesday Aug 31, 2021
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
Tuesday Aug 24, 2021
CSV sucks. Here is why. (Ep. 166)
Tuesday Aug 24, 2021
Tuesday Aug 24, 2021
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.
Tuesday Aug 17, 2021
Reinforcement Learning is all you need. Or is it? (Ep. 165)
Tuesday Aug 17, 2021
Tuesday Aug 17, 2021
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
Wednesday Aug 11, 2021
What's happening with AI today? (Ep. 164)
Wednesday Aug 11, 2021
Wednesday Aug 11, 2021
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/
Tuesday Aug 03, 2021
2 effective ways to explain your predictions (Ep. 163)
Tuesday Aug 03, 2021
Tuesday Aug 03, 2021
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