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True Machine Intelligence just like the human brain (Ep. 155) Jun 04, 2021

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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) May 26, 2021

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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) May 24, 2021

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MLOps: what is and why it is important Part 2 (Ep. 152) May 19, 2021

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MLOps: what is and why it is important (Ep. 151) May 11, 2021

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If you think that knowing Tensorflow and Scikit-learn is enough, think again.
MLOps is one of those trendy terms today.
What is MLOps and why is it important?
In this episode I speak about the undeniable evolution of the data scientist in the last 5-10 years.

Sponsors

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.

Can I get paid for my data? With Mike Andi from Mytiki (Ep. 150) Apr 28, 2021

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Your data is worth thousands a year. Why aren’t you getting your fair share?
There is a company that has a mission: they want you to take back control and get paid for your data. In this episode I speak about knowledge graphs, data confidentiality and privacy with Mike Audi, CEO of MyTiki. You can reach them on their website https://mytiki.com/ Discord official channel https://discord.com/invite/evjYQq48Be Telegram https://t.me/mytikiapp Signal https://signal.group/#CjQKIA66Eq2VHecpcCd-cu-dziozMRSH3EuQdcZJNyMOYNi5EhC0coWtjWzKQ1dDKEjMqhkP

Building high-growth data businesses with Lillian Pierson (Ep. 149) Apr 19, 2021

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In this episode I have an amazing conversation with Lillian Pierson from data-mania.com This is an action-packed episode on how data professionals can quickly convert their data expertise into high-growth data businesses, all by selecting optimal business models, revenue models, and pricing structures.
If you want to know more or get in touch with Lillian, follow the links below:

Weekly Free Trainings: We currently publish 1 free training per week on YouTube! https://www.youtube.com/channel/UCK4MGP0A6lBjnQWAmcWBcKQ
Becoming World-Class Data Leaders and Data Entrepreneurs Facebook Group: https://www.facebook.com/groups/data.leaders.and.entrepreneurs
LinkedIn: https://www.linkedin.com/in/lillianpierson/
The Data Entrepreneur’s Toolkit: A recommendation set for 32 free (or low-cost) tools & processes that'll actually grow your data business (even if you still haven’t put up that website yet!). https://www.data-mania.com/data-entrepreneur-toolkit/

Learning and training in AI times (Ep. 148) Apr 13, 2021

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Is there a gap between life sciences and data science?
What's the situation when it comes to interdisciplinary research?
In this episode I am with Laura Harris, Director of Training for the Institute of Cyber-Enabled Research (ICER) at Michigan State University (MSU), and we try to answer some of those questions.

You can contact Laura at training@msu.edu or on LinkedIn

You are the product [RB] (Ep. 147) Apr 11, 2021

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In this episode I am with George Hosu from Cerebralab and we speak about how dangerous it is not to pay for the services you use, and as a consequence how dangerous it is letting an algorithm decide what you like or not. 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

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Polars: the fastest dataframe crate in Rust - with Ritchie Vink (Ep. 146) Apr 08, 2021

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In this episode I speak with Ritchie Vink, the author of Polars, a crate that is the fastest dataframe library at date of speaking :) If you want to participate to an amazing Rust open source project, this is your change to collaborate to the official repository in the references.

References

https://github.com/ritchie46/polars

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