The hype around Generative AI is real, but is the bubble about to burst? Join me as we dissect the recent downturn in AI investments and what it means for the tech giants like OpenAI and Nvidia. Could this be the end of the AI gold rush, or just a bump in the road?

 

References

• http://garymarcus.com/index.html
• https://garymarcus.substack.com/p/why-the-collapse-of-the-generative?r=8tdk6&utm_source=substack&utm_medium=email
• https://www.theinformation.com/articles/openai-makes-a-60-million-hardware-startup-bet?utm_source=substack&utm_medium=email

 

 

In this insightful episode, we dive deep into the pressing issue of data privacy, where 86% of U.S. consumers express growing concerns and 40% don't trust companies to handle their data ethically. Join us as we chat with the Vice President of Engineering at MetaRouter, a cutting-edge platform enabling enterprises to regain control over their customer data. We explore how MetaRouter empowers businesses to manage data in a 1st-party context, ensuring ethical, compliant handling while navigating the complexities of privacy regulations.

 

Sponsors

• Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months

 

References

• https://www.metarouter.io/post/mastering-data-governance-why-governance-at-the-point-of-collection-is-a-must-have 
• https://hubs.ly/Q02HwJly0 
• https://www.metarouter.io/post/why-privacy-sandbox-is-a-good-paradigm-shift-for-consumers 

In this episode, join me and the Kaggle Grand Master, Konrad Banachewicz, for a hilarious journey into the zany world of data science trends. From algorithm acrobatics to AI, creativity, Hollywood movies, and music, we just can't get enough. It's the typical episode with a dose of nerdy comedy you didn't know you needed. Buckle up, it's a data disco, and we're breaking down the binary!

 

Sponsors

• Intrepid AI is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.
• Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience

 

🔗 Links Mentioned in the Episode:

1. Generative AI for time series: TimeGPT Documentation
2. Lag-llama: GitHub (Note: The benchmark results on this one are pretty horrible)
3. Open source LLM: Olmo Blog Post
4. Quantization for LLM: Hugging Face Guide

And finally, don't miss Konrad's Substack for more nerdy goodness! (If you're there already, be there again! 😄)

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...

 

Sponsors

Get one of the best VPN at a massive discount with coupon code DATASCIENCE. It provides you with an 83% discount which unlocks the best price in the market plus 3 extra months for free. Here is the link https://surfshark.deals/DATASCIENCE

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

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

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.

 

References

 

https://arrow.apache.org/

 

https://ballistacompute.org/

 

https://github.com/ballista-compute/ballista

 

 

 

 

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?

 

Sponsors

Get one of the best VPN at a massive discount with coupon code DATASCIENCE. It provides you with an 83% discount which unlocks the best price in the market plus 3 extra months for free. Here is the link https://surfshark.deals/DATASCIENCE

Sponsors

Get one of the best VPN at a massive discount with coupon code DATASCIENCE. It provides you with an 83% discount which unlocks the best price in the market plus 3 extra months for free. Here is the link https://surfshark.deals/DATASCIENCE

 

 

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!

Sponsors

Get one of the best VPN at a massive discount with coupon code DATASCIENCE. It provides you with an 83% discount which unlocks the best price in the market plus 3 extra months for free. Here is the link https://surfshark.deals/DATASCIENCE

 

References

• Leo Breiman, Random Forests, 2001
• C. Chen, A. Liaw, L. Breiman, Using Random Forest to Learn Imbalanced Data (2004)

 

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.

In this episode of Data Science at Home, we explore the game-changing impact of low-code solutions in robotics development. Discover how these tools bridge the coding gap, simplify integration, and enable trial-and-error development. We'll also uncover challenges with traditional coding methods using ROS. Join us for a concise yet insightful discussion on the future of robotics!

Sponsors

• Intrepid AI is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.
• Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience

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:

1. Weekly Free Trainings: We currently publish 1 free training per week on YouTube! https://www.youtube.com/channel/UCK4MGP0A6lBjnQWAmcWBcKQ
2. Becoming World-Class Data Leaders and Data Entrepreneurs Facebook Group: https://www.facebook.com/groups/data.leaders.and.entrepreneurs
3. LinkedIn: https://www.linkedin.com/in/lillianpierson/
4. 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

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

 

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

 

 

 

 

Pandas is the de-facto standard for data loading and manipulation. Python is the de-facto programming language for such operations. Rust is the underdog. Or is it? In this episode I am showing you why that is no longer the case.

 

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

 

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.  

 

Useful Links

https://github.com/haixuanTao/Data-Manipulation-Rust-Pandas

https://github.com/ritchie46/polars

https://github.com/rust-ndarray/ndarray

 

In plain English, concurrent and parallel are synonyms. Not for a CPU. And definitely not for programmers. In this episode I summarize the ways to parallelize on different architectures and operating systems.

Rock-star data scientists must know how concurrency works and when to use it IMHO.

 

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

 

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.  

 

Useful Links

http://web.mit.edu/6.005/www/fa14/classes/17-concurrency/

https://doc.rust-lang.org/book/ch16-00-concurrency.html

https://urban-institute.medium.com/using-multiprocessing-to-make-python-code-faster-23ea5ef996ba

 

Join us in a dynamic conversation with Yori Lavi, Field CTO at SQream, as we unravel the data analytics landscape. From debunking the data lakehouse hype to SQream's GPU-based magic, discover how extreme data challenges are met with agility. Yori shares success stories, insights into SQream's petabyte-scale capabilities, and a roadmap to breaking down organizational bottlenecks in data science. Dive into the future of data analytics with SQream's commitment to innovation, leaving legacy formats behind and leading the charge in large-scale, cost-effective data projects. Tune in for a dose of GPU-powered revolution!

 

References

• SQream - GPU-based Big Data Platform  
• Patents Assigned to SQREAM TECHNOLOGIES LTD

In plain English, concurrent and parallel are synonyms. Not for a CPU. And definitely not for programmers. In this episode I summarize the ways to parallelize on different architectures and operating systems. Rock-star data scientists must know how concurrency works and when to use it IMHO.

 

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

 

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.  

 

 

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.

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

The financial system is changing. It is becoming more efficient and integrated with many more services making our life more... digital. Is the old banking system doomed to fail? Or will it just be disrupted by the smaller players of the fintech industry? In this episode we answer some of these fundamental questions with Alessandro E. Hatami from Pacemakers

Subscribe to the Newsletter and come chat with us on the official Discord channel

 

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

 

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.  

 

Have you clicked the button? Accepted the new terms?

It's time we have a talk.

In this podcast I get inspired by Paul Done's presentation about The Six Principles for Building Robust Yet Flexible Shared Data Applications, and show how powerful of a language Rust is while still maintaining the flexibility of less strict languages.

 

Our Sponsor

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

 

In this episode I explain the basics of computer architecture and introduce some features of the Apple M1

Is it good for Machine Learning tasks?

 

References

• Computer architectures book https://www.amazon.com/Computer-Architecture-Quantitative-John-Hennessy/dp/012383872X
• Performance https://nod.ai/comparing-apple-m1-with-amx2-m1-with-neon/

In this episode I speak with Daniel McKenna about Rust, machine learning and artificial intelligence.

You can find Daniel from

• http://github.com/xd009642 
• https://twitter.com/xd009642

 

Don't forget to come join me in our Discord channel speaking about all things data science.

Subscribe to the official Newsletter and never miss an episode

Let's finish this year with an amazing episode about scaling ML with clusters and GPUs. Kind of as a continuation of Episode 112 I have a terrific conversation with Aaron Richter from Saturn Cloud about, well, making ML faster and scaling it to massive infrastructure.

Aaron can be reached on his website https://rikturr.com and Twitter @rikturr

 

Our Sponsor

Saturn Cloud is a data science and machine learning platform for scalable Python analytics. Users can jump into cloud-based Jupyter and Dask to scale Python for big data using the libraries they know and love, while leveraging Docker and Kubernetes so that work is reproducible, shareable, and ready for production.

Try Saturn Cloud for free at https://saturncloud.io 

Twitter: @saturn_cloud

 

 

What is data ethics? In this episode I have an interesting chat with Denny Wong from FaqBot and Muna.

  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.   References

• Denny's Twitter profile
• The data ethics awareness workshop for AI practitioners

In this episode from a month ago, join me as we unravel the controversial CEO firing at OpenAI in December 2023. I share my insights on the events, decode the intricacies, and explore what lies ahead for this influential organization. Don't miss this concise yet insightful take on the intersection of leadership and artificial intelligence innovation.

 

 

Sponsor

Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience

Our Links

Come join me in our Discord channel speaking about all things data science.

Subscribe to the official Newsletter and never miss an episode

Follow me on Twitch during my live coding sessions usually in Rust and Python

Our Sponsors

• ProtonMail offers a simple and trusted solution to protect your internet connection and access blocked or restricted websites. All of ProtonMail and ProtonVPN’s apps are open source and have been inspected by cybersecurity experts, and Proton is based in Switzerland, home to some of the world’s strongest privacy laws
• 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

1. https://data-apis.org/blog/announcing_the_consortium
2. https://data-apis.github.io/array-api/latest/
3. https://github.com/data-apis/python-record-api

In this episode Adam Leon Smith, CTO of DragonFly and expert in data regulations explains some of the consequences of Schrems II and data transfers from EU to US.

 

For very interesting references and a practical example, subscribe to our Newsletter

 

 

Our Links

Come join me in our Discord channel speaking about all things data science.

Subscribe to the official Newsletter and never miss an episode

Follow me on Twitch during my live coding sessions usually in Rust and Python

  Our Sponsors

• ProtonMail offers a simple and trusted solution to protect your internet connection and access blocked or restricted websites. All of ProtonMail and ProtonVPN’s apps are open source and have been inspected by cybersecurity experts, and Proton is based in Switzerland, home to some of the world’s strongest privacy laws
• 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.

Come join me in our Discord channel speaking about all things data science.

Follow me on Twitch during my live coding sessions usually in Rust and Python

Subscribe to the official Newsletter and never miss an episode

Our Sponsors

• ProtonMail offers a simple and trusted solution to protect your internet connection and access blocked or restricted websites. All of ProtonMail and ProtonVPN's apps are open source and have been inspected by cybersecurity experts, and Proton is based in Switzerland, home to some of the world’s strongest privacy laws
• 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.

Come join me in our Discord channel speaking about all things data science.

Follow me on Twitch during my live coding sessions usually in Rust and Python

Our Sponsors

• 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

Dataset distillation (official paper)

GitHub repo

 

Come join me in our Discord channel speaking about all things data science.

Follow me on Twitch during my live coding sessions usually in Rust and Python

Our Sponsors

• ProtonVPN offers a simple and trusted solution to protect your internet connection and access blocked or restricted websites. All of ProtonVPN’s apps are open source and have been inspected by cybersecurity experts, and Proton is based in Switzerland, home to some of the world's strongest privacy laws
• 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.

Come join me in our Discord channel speaking about all things data science.

Follow me on Twitch during my live coding sessions usually in Rust and Python

Our Sponsors

• physicspodcast.com is not just a physics podcast. But also interviews with scientists, scholars, authors and reflections on the history and future of science and technology are all in the wheelhouse.
• 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.

Come join me in our Discord channel speaking about all things data science.

Follow me on Twitch during my live coding sessions usually in Rust and Python

Our Sponsors

• ProtonMail is a secure and private email provider that protects yourmessages with end-to-end encryption and zero-access encryption so that besides you, noone can access them.
• 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

• DeepInterpolation

Come join me in our Discord channel speaking about all things data science.

Follow me on Twitch during my live coding sessions usually in Rust and Python

Our Sponsors

• The Monday Apps Challenge is bringing developers around the world together to compete in order to build apps that can improve the way teams work together on monday.com
• 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

A Simple Framework for Contrastive Learning of Visual Representations

 

Come join me in our Discord channel speaking about all things data science.

Follow me on Twitch during my live coding sessions usually in Rust and Python

This episode is supported by Monday.com

The Monday Apps Challenge is bringing developers around the world together to compete in order to build apps that can improve the way teams work together on monday.com.

!!WARNING!!

Due to some technical issues the volume is not always constant during the show. I sincerely apologise for any inconvenience Francesco

 

 

In this episode, I speak with Richie Cotton, Data Evangelist at DataCamp, as he delves into the dynamic intersection of AI and education. Richie, a seasoned expert in data science and the host of the podcast, brings together a wealth of knowledge and experience to explore the evolving landscape of AI careers, the skills essential for generative AI technologies, and the symbiosis of domain expertise and technical skills in the industry.

 

References

• Become a generative AI developer in this FREE code-along series. Learn to build a chatbot using the OpenAI API, the Pinecone API, and LangChain, and learn to build NLP and image applications with Hugging Face. https://www.datacamp.com/ai-code-alongs
• Learn to use ChatGPT and the OpenAI API in the OpenAI Fundamentals skill track. https://www.datacamp.com/tracks/openai-fundamentals
• Get started with deep learning using PyTorch in the Introduction to Deep Learning with PyTorch course. https://www.datacamp.com/courses/introduction-to-deep-learning-with-pytorch

 

 

Let's talk about federated learning. Why is it important? Why large organizations are not ready yet?

 

Come join me in our Discord channel speaking about all things data science.

Follow me on Twitch during my live coding sessions usually in Rust and Python

This episode is supported by Monday.com

The Monday Apps Challenge is bringing developers around the world together to compete in order to build apps that can improve the way teams work together on monday.com.

 

Come join me in our Discord channel speaking about all things data science.

Follow me on Twitch during my live coding sessions usually in Rust and Python

 

This episode is supported by Monday.com

Monday.com bring teams together so you can plan, manage and track everything your team is working on in one centralized place

The monday Apps Challenge is bringing developers around the world together to compete in order to build apps that can improve the way teams work together on monday.com.

Come join me in our Discord channel speaking about all things data science.

Follow me on Twitch during my live coding sessions usually in Rust and Python

This episode is supported by Women in Tech by Manning Conferences