SuperDataScience @superdatasci
SuperDataScience is an online educational portal for Data Scientists. The company’s mission is to “Make The Complex Simple”. superdatascience.com Joined November 2016-
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Founder of @superdatasci Kirill Eremenko talks to @JonKrohnLearns about how he found the best tools and approaches to help launch his 8-week #AIengineering bootcamp, and he shares his tips with listeners who might want to start their own tech bootcamp or sign up for…
Michelle Yi talks to @JonKrohnLearns about finding ways to trust and secure #AI systems, the methods that hackers use to jailbreak code, and what users can do to build their own trustworthy AI systems. Watch the episode here: bit.ly/sds915
In this Feature Friday, Cofounder and CTO of lakeFS Oz Katz talks to @JonKrohnLearns about data warehouses, data lakes, and how companies can handle increasingly complex data infrastructures and formats. Hear about lakeFS’s collaboration with Legofest, lakeFS’s approach to…
Julien Launay launched Adaptive to give data science teams in business enterprises their “RLOps tooling” to make reinforcement learning easier. Talking to @JonKrohnLearns, Julien says, “Most of our users are data scientists who write Python codes to interface with the system”.…
Robert Osazuwa Ness talks to @JonKrohnLearns about how to achieve causality in #AI with correlation-based learning, the right libraries, and handling statistical inference. Watch the episode here: bit.ly/sds909
Zohar Bronfman speaks with @JonKrohnLearns about the fascinating intersection between computational neuroscience and philosophy, and how it has brought him closer to understanding what is necessary to develop human-like intelligence in machines, as well as his motivations for…
Sebastian Gehrmann speaks to @JonKrohnLearns about his latest research into how retrieval-augmented generation (RAG) makes #LLMs less safe, the three ‘H’s for gauging the effectivity and value of a #RAG, and the custom guardrails and procedures we need to use to ensure our RAG is…
Sinan Ozdemir speaks to @JonKrohnLearns about the means we have to evaluate AI, from the limitations of current #AI benchmarking to helping organizations find reliable ways to evaluate the #LLMs they use. Watch the episode here: bit.ly/sdsp903
Senior Director of AI Labs for Lilith Bat-Leah speaks to @JonKrohnLearns about the ways AI have disrupted the legal industry using #LLMs and retrieval-augmented generation (RAG), as well as how the data-centric machine learning research movement (DMLR) is systematically improving…
In this episode, Kirill Eremenko returns to the podcast to speak to @JonKrohnLearns about SuperDataScience subscriber success stories, where to focus in a field that is evolving incredibly quickly, and why in-person working and networking might give you the edge over other…
Head of AIX Ventures @shaunbjohnson talks to @JonKrohnLearns about investment strategies, how to simplify AI adoption, why a little competition can be so beneficial to AI startups, and how Big Tech is circumventing anti-monopoly measures. Watch the episode here:…
Avery Smith, Founder of Data Career Jumpstart, speaks to @JonKrohnLearns about how to get a #datascience #career quickly, from strategic paths to entry-level roles to creating solid portfolio projects that companies want to see. Watch the episode here: bit.ly/sds893
Martin Brunthaler talks to @JonKrohnLearns about founding Adverity, a data analytics platform for marketing that simplifies integrating data from multiple sources and crunching them into actionable insights. Watch the episode here: bit.ly/sdsp891
Find out the latest in #VR and immersive experiences with Mary S. in discussion with @JonKrohnLearns. Watch the episode here: bit.ly/sdsp889
Jeroen Janssens and Thijs Nieuwdorp are data frame library Polars’ greatest advocates in this episode with @JonKrohnLearns , where they discuss their book, Python Polars: The Definitive Guide, best practices for using Polars, why Pandas users are switching to Polars for data…
Sama Bali and Logan Lawler talk to @JonKrohnLearns about their respective work at tech giants @nvidia and @DellTech, from the next-gen #BlackwellGPUs to their collaboration with Dell in launching #ProMaxPCs specially designed to take on heavy computational workloads; a must for…
Emily Webber speaks to @JonKrohnLearns about her work at Amazon Web Services, from its Annapurna Labs-developed Nitro System, a foundational technology that can enhance securities and performance in the cloud and how Trainium2 became AWS’ most powerful AI chip with four times the…
Greg Michaelson speaks to @JonKrohnLearns about the latest developments at Zerve AI, an operating system for developing and delivering data and #AIproducts, including a revolutionary feature allowing users to run multiple parts of a program’s code at once and without extra costs.…
Shirish Gupta speaks to @JonKrohnLearns about neural processing units and what makes them a go-to tool for #AI inference workloads, reasons to move your workloads from the cloud and to your local devices, what the mnemonic AIPC stands for and why it will soon be on everyone’s…
LLM and model API users: In this week’s guest interview, Vaibhav Gupta talks to @JonKrohnLearns about creating a programming language that helps companies save up to 30% on their #AI costs. Watch the episode here: bit.ly/sds859 Thanks to Open Data Science Conference…
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