Machine Learning Episodes

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Richie and Kim explore her work on Google Gemini, the importance of customizability in AI models, the intersection of AI, neuroscience and memory and much more. 

Learning & Memory, For Brains & AI, with Kim Stachenfeld, Senior Research Scientist at Google DeepMind 

RIchie and Elan explore LLMs, vector databases and the best use-cases for them, semantic search, the tech stack for AI applications, emerging roles within the AI space, the future of vector databases and AI, and much more.  

The Power of Vector Databases and Semantic Search with Elan Dekel, VP of Product at Pinecone

Adel and Eric explore the reasons why machine learning projects don't make it into production, the BizML Framework or how to bring business stakeholders into the room when building machine learning use cases, what the previous machine learning hype cycle can teach us about generative AI and a lot more. 


Why ML Projects Fail, and How to Ensure Success with Eric Siegel, Founder of Machine Learning Week, Former Columbia Professor, and Bestselling Author

Richie and Anthony cover what algorithmic trading is, the use of machine learning techniques in trading strategies, the challenges of handling large datasets with low latency, risk management in algorithmic trading and much more. 

Inside Algorithmic Trading with Anthony Markham, Vice President, Quantitative Developer at Deutsche Bank

Wil, Cong, and Richie explore process mining and its development, popular use cases of process mining, how to scale process mining systems, prospects within the field and much more.


Unlocking Efficiency Gains Through Process Mining with Wil van der Aalst and Cong Yu, Chief Scientist and VP Engineering at Celonis

Richie and Paul explore Causal AI, how Causal AI contributes to better decision-making, the role of domain experts in getting accurate results, exciting new developments within the Causal AI space and much more. 

Causal AI in Business with Paul Hünermund, Assistant Professor, Copenhagen Business School

Richie and Craig explore the 2023 advancements in generative AI, the promising future of world models and AI agents, the transformative potential of AI in various sectors and much more.

What to Expect from AI in 2024 with Craig S. Smith, Host of the Eye on A.I Podcast

Discover principles for great ML product design, data collection and packaging outputs into slick user design. 

Building Great Machine Learning Products at Opendoor

Derek Cedillo is a Senior Manager with over 25 years working in data at GE Aerospace, in the episode he shares the key components to successfully managing data science program within a large and highly regulated organization. 

How the Aviation Industry Leverages Data Science

Jean-Francois Puget is a Distinguished Engineer at NVIDIA and a 3x Kaggle Grandmaster. We talk competitive machine learning and computing on GPUs.

Becoming a Kaggle Grandmaster

George Trujillo shares how he believes real-time data can completely transform the way companies work with data, the real-world use cases of real-time analytics and why reducing data complexity is key to improving the customer experience.

How Real Time Data Accelerates Business Outcomes

https://www.datacamp.com/blog/how-real-time-data-accelerates-business-outcomes

Daniel Situnayake talks about his work with EdgeML, the biggest challenges in embedded machine learning, potential use cases of machine learning models in edge devices, and the best tips for aspiring machine learning engineers and data science practices.

Embedded Machine Learning on Edge Devices

https://www.datacamp.com/blog/embedded-machine-learning-on-edge-devices