Data Science at Home

CSV sucks. Here is why. (Ep. 166)

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.
 
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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.
 

Reinforcement Learning is all you need. Or is it? (Ep. 165)

Is reinforcement learning sufficient to build truly intelligent machines? Listen to this episode to find out.
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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
 

What's happening with AI today? (Ep. 164)

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.
 
 
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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/
 
 

2 effective ways to explain your predictions (Ep. 163)

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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
 
 

The Netflix challenge. Fair or what? (Ep. 162)

Remember the Netflix challenge?
It was a ton of money for the one who would have cracked the problem of recommending the best possible movie.
Was it a fair challenge? Did it work?Let me tell you what happened...
 
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Artificial Intelligence for Blockchains with Jonathan Ward CTO of Fetch AI (Ep. 161)

In this episode Fetch AI CTO Jonathan Ward speaks about decentralization, AI, blockchain for smart cities and the enterprise.Below some great links about collective learning, smart contracts in Rust and the Fetch AI ecosystem.
Decentralised collective learning: https://github.com/fetchai/colearn
Smart contracting platform written in Rust https://docs.cosmwasm.com/docs/0.14/
Fetch.ai cosmwasm contracts for collective learning: https://github.com/fetchai/contract-learn
How the Colearn system works: https://vimeo.com/440365943

Apache Arrow, Ballista and Big Data in Rust with Andy Grove RB (Ep. 160)

Do you want to know the latest in big data analytics frameworks? Have you ever heard of Apache Arrow? Rust? Ballista? In this episode I speak with Andy Grove one of the main authors of Apache Arrow and Ballista compute engine.Andy explains some challenges while he was designing the Arrow and Ballista memory models and he describes some amazing solutions.
 
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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://arrow.apache.org/
 
https://ballistacompute.org/
 
https://github.com/ballista-compute/ballista
 
 
 
 

GitHub Copilot: yay or nay? (Ep. 159)

It made already quite some noise in the news, GitHub copilot promises to be your pair programmer for life.In this episode I explain how and what GitHub copilot does. Should developers be happy, scared or just keep coding the traditional way?
 
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Pandas vs Rust [RB] (Ep. 158)

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A simple trick for very unbalanced data (Ep. 157)

Data from the real world are never perfectly balanced. In this episode I explain a simple yet effective trick to train models with very unbalanced data. Enjoy the show!
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References
Leo Breiman, Random Forests, 2001
C. Chen, A. Liaw, L. Breiman, Using Random Forest to Learn Imbalanced Data (2004)