Data Science at Home

In this episode, we dive into the world of data analytics and artificial intelligence with Ryan, the CEO, and Paul, the CTO of Zenlytic. Having graduated from Harvard and with extensive backgrounds in venture capital, consulting, and data engineering, Ryan and Paul provide valuable insights into their journey of building Zenlytic, a cutting-edge analytics platform. Join us as we explore how Zenlyt...

In this captivating podcast episode, join renowned financial expert Chris Skinner as he delves into the fascinating realm of the future of money. From cryptocurrencies to government currencies, the metaverse to artificial intelligence (AI), Skinner explores the intricate interplay between technology and humanity. Gain valuable insights as he defines the future of money, examines the potential impa...

In this thought-provoking episode, we sit down with the renowned AI expert, Filip Piekniewski, Phd, who fearlessly challenges the prevailing narratives surrounding artificial general intelligence (AGI) and the singularity. With a no-nonsense approach and a deep understanding of the field, Filip dismantles the hype and exposes some of the misconceptions about AI, LLMs and AGI. Join us as we delve i...

In this exciting episode, we dive into the world of Forward-Forward Neural Networks, unveiling their mind-boggling power and potential. Join us as we demystify these advanced AI algorithms and explore how they're reshaping industries and revolutionizing machine learning. From self-driving cars to personalized medicine, discover the cutting-edge applications that are propelling us into a new era of...

Brace yourselves as we uncover the mind-blowing AI model, Google Bard, that's poised to challenge ChatGPT and other conversational AI systems. Join us as we explore the revolutionary features of Bard, its cutting-edge architecture, and its ability to generate human-like responses. Discover why AI enthusiasts are buzzing with excitement. References: [1] [2] [3]   Sponsors Finally, a better way to d...

In this enlightening episode of our podcast, we delve into the fascinating realm of Physics Informed Neural Networks (PINNs) and explore how they combine the extraordinary prediction capabilities of neural networks with the unparalleled accuracy of physics models. Join us as we unravel the mysteries behind PINNs and their potential to revolutionize various scientific and engineering domains. We'll...

In this episode, we dive into the ways in which AI and machine learning are disrupting traditional software engineering principles. With the advent of automation and intelligent systems, developers are increasingly relying on algorithms to create efficient and effective code. However, this reliance on AI can come at a cost to the tried-and-true methods of software engineering. Join us as we explor...

Hold on to your calculators and buckle up for a wild mathematical ride in this episode! Brace yourself as we dive into the fascinating realm of Liquid Time-Constant Networks (LTCs), where mathematical content reaches new heights of excitement. In this mind-bending adventure, we demystify the intricacies of LTCs, from complex equations to mind-boggling mathematical concepts, we break them down into...

Get ready for an eye-opening episode! 🎙️ In our latest podcast episode, we dive deep into the world of LoRa (Low-Rank Adaptation) for large language models (LLMs). This groundbreaking technique is revolutionizing the way we approach language model training by leveraging low-rank approximations. Join us as we unravel the mysteries of LoRa and discover how it enables us to retrain LLMs with minimal...

This is the first episode about the latest trend in artificial intelligence that's shaking up the industry - running large language models locally on your machine. This new approach allows you to bypass the limitations and constraints of cloud-based models controlled by big tech companies, and take control of your own AI journey. We'll delve into the benefits of running models locally, such as inc...

The journey of porting our projects to Rust was intense, but it was a decision we made to improve the quality of our software. The migration was not an easy task, as it required a considerable amount of time and resources. However, it was worth the effort as we have seen significant improvements in code reusability, code cleanliness, and performance. In this episode I will tell you why you should...

In this episode of our podcast, we dive deep into the fascinating world of Graph Neural Networks. First, we explore Hierarchical Networks, which allow for the efficient representation and analysis of complex graph structures by breaking them down into smaller, more manageable components. Next, we turn our attention to Generative Graph Models, which enable the creation of new graph structures that...

In this episode, I explore the cutting-edge technology of graph neural networks (GNNs) and how they are revolutionizing the field of artificial intelligence. I break down the complex concepts behind GNNs and explain how they work by modeling the relationships between data points in a graph structure. I also delve into the various real-world applications of GNNs, from drug discovery to recommendati...

In this episode, we dive into the not-so-secret sauce of ChatGPT, and what makes it a different model than its predecessors in the field of NLP and Large Language Models. We explore how human feedback can be used to speed up the learning process in reinforcement learning, making it more efficient and effective. Whether you're a machine learning practitioner, researcher, or simply curious about how...

In this episode, we explore the potential of the highly anticipated GPT-4 language model and the challenges that come with its development. From its ability to generate highly coherent and creative text to concerns about ethical considerations and the potential misuse of such technology, we delve into the promise and pitfalls of GPT-4. Join us as we speak with experts in the field to gain insights...

In this episode, we dive into the ways in which AI and machine learning are disrupting traditional software engineering principles. With the advent of automation and intelligent systems, developers are increasingly relying on algorithms to create efficient and effective code. However, this reliance on AI can come at a cost to the tried-and-true methods of software engineering. Join us as we explor...

In this episode, we dive into the fascinating world of zero-knowledge proofs and their impact on data science. Zero-knowledge proofs allow one party to prove to another that they know a secret without revealing the secret itself. This powerful concept has numerous applications in data science, from ensuring data privacy and security, to facilitating secure transactions and identity verification. W...

Deep learning methods are not as effective with tabular data. Here is why, and what to do about it.   Sponsors If you're ready to take your WiFi game to the next level, head over to asus.click/ZenWiFi_XD5 or check out the show notes for this episode. Trust me, with ASUS ZenWiFi XD5, you'll get the best WiFi experience ever!   References https://paperswithcode.com/methods/category/deep-tabular-lear...

In this episode I speak about online learning systems and why blindly choosing such a paradigm can lead to very unpredictable and expensive outcomes. Also in this episode, I have to deal with an intruder :)     Links Birman, K.; Joseph, T. (1987). "Exploiting virtual synchrony in distributed systems". Proceedings of the Eleventh ACM Symposium on Operating Systems Principles - SOSP '87. pp. 123–138...

In this episode, I'll be discussing the capabilities and limitations of ChatGPT, an advanced language AI model. I'll go over its power to understand and respond to natural language, and its applications in tasks such as language translation and text summarization. However, I'll also touch on the challenges that still need to be overcome such as bias and data privacy concerns. Tune in for a compreh...

In this episode I am with Kevin McNamara, founder and CEO of Parallel Domain. We speak about a very effective method to generate synthetic data that is currently in production at Parallel Domain. Enjoy the show!     References Parallel Domain Synthetic Data Improves Cyclist Detection (blog post): https://paralleldomain.com/parallel-domain-synthetic-data-improves-cyclist-detection/     Beating the...

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Is it possible to reconstruct a 3D model from a simple image? Under certain constraints, it is! In this episode I tell you how.   Our Sponsors Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide. Check it out at https://arcticwolf.com/datascience   Amethix works to create and maximize the impact of t...

What if we borrowed from physics some theories that would interpret deep learning and machine learning in general? Here is a list of plausible ways to interpret our beloved ML models and understand why they works, or they don't. Enjoy the show! Our Sponsors NordPass Business has developed a password manager, that will save you a lot of time and energy whenever you  need access to business accounts...