Data Science at Home
Episodes
Wednesday May 26, 2021
Wednesday May 26, 2021
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/
Monday May 24, 2021
Monday May 24, 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.
Friday Mar 26, 2021
Friday Mar 26, 2021
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.
Our Sponsors
This episode is supported by Chapman’s Schmid College of Science and Technology, where master’s and PhD students join in cutting-edge research as they prepare to take the next big leap in their professional journey.To learn more about the innovative tools and collaborative approach that distinguish the Chapman program in Computational and Data Sciences, visit chapman.edu/datascience
If building software is your passion, you’ll love ThoughtWorks Technology Podcast. It’s a podcast for techies by techies. Their team of experienced technologists take a deep dive into a tech topic that’s piqued their interest — it could be how machine learning is being used in astrophysics or maybe how to succeed at continuous delivery.
References
https://arrow.apache.org/
https://ballistacompute.org/
https://github.com/ballista-compute/ballista
Tuesday Mar 02, 2021
Tuesday Mar 02, 2021
This is one of the most dynamic and fascinating topics: API technologies for machine learning.
It's always fun to build ML models. But how about serving them in the real world? In this episode I speak about three must-know technologies to place your model behind an API.
Our Sponsors
This episode is supported by Chapman’s Schmid College of Science and Technology, where master’s and PhD students join in cutting-edge research as they prepare to take the next big leap in their professional journey.To learn more about the innovative tools and collaborative approach that distinguish the Chapman program in Computational and Data Sciences, visit chapman.edu/datascience
If building software is your passion, you’ll love ThoughtWorks Technology Podcast. It’s a podcast for techies by techies. Their team of experienced technologists take a deep dive into a tech topic that’s piqued their interest — it could be how machine learning is being used in astrophysics or maybe how to succeed at continuous delivery.