Data Science at Home

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

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 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/   

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.

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.

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.   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.            

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

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/

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

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   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.   Links https://cerebralab.com https://www.eugenewei.com/blog/2019/2/19/status-as-a-service