474: The Machine Learning House

474: The Machine Learning House

‏التالي

993: How to Build AI-First Organizations, with Jacob Miller and Jeremy Mumford

For years, AI content has come in the form of “use this library, use this tool” tutorials that age out within months. Jacob Miller and Jeremy Mumford, co-authors of the brand new Wiley book Architected Intelligence, wanted to write something different, a guide to the higher-level ...  عرض المزيد

992: Tokenmaxxing vs AI Hardware Bottlenecks

While “tokenmaxxing”, the social media trend of maximizing AI token consumption as a vanity metric, takes off online, the physical infrastructure behind AI is slamming into serious bottlenecks. In this Five-Minute Friday, Jon Krohn maps out the four overlapping supply-chain const ...  عرض المزيد

‏حلقات موصى بها

#498: [African Stories #2] EXPLORE Data Science Academy
AWS Podcast

The EXPLORE Data Science Academy (EDSA) is a premier data science academy in South Africa that offers students an intensive one-year training course and provides a fundamental understanding of software development and cloud computing technologies. In this episode, Simon speaks wi ...  عرض المزيد

Bayesian Machine Learning with Ravin Kumar (Ep. 191)
Data Science at Home

This is one episode where passion for math, statistics and computers are merged. I have a very interesting conversation with Ravin,  data scientist at Google where he uses data to inform decisions.

He has previously worked at Sweetgreen, designing systems that would b ...

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Chapter 1: What is Data Science?
Build a Career in Data Science

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 ...

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Academics and Data Science Innovation with Dr. David Bader, Distinguished Professor and Director, Institute for Data Science, New Jersey Institute of Technology
IT Visionaries

The data science field is expanding because so many businesses and other institutions require skilled workers who can manage data as well as provide insights. Companies and students are clamoring for more academic programs. There is great need, but academic institutions are st ...

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