Episode 6: How to be data scientist

<p>LLMs generate text painfully slow, one low-info token at a time. Researchers just figured out how to compress 4 tokens into smart vectors &amp; cut costs by 44%—with full code &amp; proofs! Meanwhile OpenAI drops product ads, not papers. We explore CALM &amp; why open scienc ... Show More

<p class="whitespace-normal break-words">VortexNet uses actual whirlpools to build neural networks. Seriously. By borrowing equations from fluid dynamics, this new architecture might solve deep learning's toughest problems—from vanishing gradients to long-range dependencies. ... Show More

Fred Jordan, Co-CEO of FinalSpark, takes us inside the radical world of biological computing, where real neurons extracted from human tissue are being trained to solve problems that would require 10 megawatts in silicon. We explore the life support systems keeping these "wetware" ... Show More

There's a good chance that great data science is going on close to you, and that it's going toward making your city, state, country, and planet a better place. Not all the data science questions being tackled out there are about finding the sleekest new algorithm or billion-dolla ... Show More

In this episode of the SuperDataScience Podcast, I chat with the President and Editor at KDNuggets, Gregory Piatetsky-Shapiro. You will hear about the recent advancements in Data Science, learn how Reinforcement Learning can greatly improve AI capabilities, and learn about the no ... Show More

In this episode of the SuperDataScience Podcast, we will listen to the CEO and Founder of Business Science LLC, Matt Dancho. You will hear about combining data science with business and finance, learn why data science consultancies are in demand, and learn about the open-source s ... Show More

Want to know what's going on in data science these days?  There's no better way than to analyze a survey with over 16,000 responses that recently released by Kaggle.  Kaggle asked practicing and aspiring data scientists about themselves, their tools, how they find jobs, what they ... Show More

<p>What actually *is* data science, and what does a data scientist do? What kind of backgrounds do data scientists come from and what skills do you need to be one? In this episode we start with the basics—declaring once and for all what is data science anyway and exploring how th ... Show More

In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Nicholas Cepeda. You will be able to discover the many different pathways in Data Science, learn R from a SQL background and hear about SAS Enterprise Miner. If you enjoyed this episode, check o ... Show More

How do you see data science assisting in the transportation industry in the future? If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/256 

In this episode of the SuperDataScience Podcast, we will listen to the Data Scientist at Utopus Insights, Gabor Solymosi. You will hear about survival analytics, you will learn how to find the freedom to work remotely, and also, you will get to know more about Text analytics. If ... Show More