Data Science at Home

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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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)
 

Time to take your data back with Tapmydata (Ep. 156)

In this episode I am with Gilbert Hill, head of strategy at https://tapmydata.com/
We speak about personal data, blockchain and the ability to control it and monetize with another simple yet effective app in the ecosystem.
 
 
References
https://tapmydata.com/
https://medium.com/@tholder/we-dont-want-your-data-pushing-boundaries-in-data-collection-and-end-to-end-encryption-for-apps-ebd1d5f79df5

True Machine Intelligence just like the human brain (Ep. 155)

In this episode I have a really interesting conversation with Karan Grewal, member of the research staff at Numenta where he investigates how biological principles of intelligence can be translated into silicon.We speak about the thousand brains theory and why neural networks forget.
 
 
References
Main paper on the Thousand Brains Theory: https://www.frontiersin.org/articles/10.3389/fncir.2018.00121/full
Blog post on Thousand Brains Theory: https://numenta.com/blog/2019/01/16/the-thousand-brains-theory-of-intelligence/
GLOM paper by Geoff Hinton: https://arxiv.org/pdf/2102.12627.pdf
Why neural networks forget? https://numenta.com/blog/2021/02/04/why-neural-networks-forget-and-lessons-from-the-brain
 

Delivering unstoppable data with Streamr (Ep. 154)

Delivering unstoppable data to unstoppable apps is now possible with Streamr Network
Streamr is a layer zero protocol for real-time data which powers the decentralized Streamr pub/sub network. The technology works in tandem with companion blockchains - currently Ethereum and xDai chain - which are used for identity, security and payments. On top is the application layer, including the Data Union framework, Marketplace and Core, and all third party applications. 
In this episode I have a very interesting conversation with Streamr founder and CEO Henri Pihkala
 
References
Streamr project website: https://streamr.network/ 
More about the Streamr Network: https://streamr.network/discover/network 
More about Data Unions: https://streamr.network/discover/data-unions
More about the Data Marketplace: https://streamr.network/discover/marketplace 
Developer docs: https://streamr.network/docs 
Streamr Github: https://github.com/streamr-dev 
Streamr Discord: https://discord.gg/gZAm8P7hK8 
Streamr Twitter: https://twitter.com/streamr 
Streamr YouTube: https://www.youtube.com/channel/UCGWEA61RueG-9DV53s-ZyJQ 
Streamr Reddit: https://reddit.com/r/streamr 
Scalability & latency research blog: https://blog.streamr.network/streamr-network-performance-and-scalability-whitepaper/ 
Swash, a Data Union built on Streamr: https://swashapp.io/ 
 

MLOps: the good, the bad and the ugly (Ep. 153)

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MLOps: what is and why it is important Part 2 (Ep. 152)

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