logo
episode-header-image
Oct 2017
31m 40s

Data science tools and other announcemen...

Kyle Polich
About this episode

In this episode, Microsoft's Corporate Vice President for Cloud Artificial Intelligence, Joseph Sirosh, joins host Kyle Polich to share some of the Microsoft's latest and most exciting innovations in AI development platforms. Last month, Microsoft launched a set of three powerful new capabilities in Azure Machine Learning for advanced developers to exploit big data, GPUs, data wrangling and container-based model deployment.

Extended show notes found here.

Thanks to our sponsor Springboard.  Check out Springboard's Data Science Career Track Bootcamp.

Up next
Jul 6
The Network Diversion Problem
In this episode, Professor Pål Grønås Drange from the University of Bergen, introduces the field of Parameterized Complexity - a powerful framework for tackling hard computational problems by focusing on specific structural aspects of the input. This framework allows researchers ... Show More
46m 14s
Jun 28
Complex Dynamic in Networks
In this episode, we learn why simply analyzing the structure of a network is not enough, and how the dynamics - the actual mechanisms of interaction between components - can drastically change how information or influence spreads. Our guest, Professor Baruch Barzel of Bar-Ilan Un ... Show More
56 m
Jun 22
Github Network Analysis
In this episode we'll discuss how to use Github data as a network to extract insights about teamwork. Our guest, Gabriel Ramirez, manager of the notifications team at GitHub, will show how to apply network analysis to better understand and improve collaboration within his enginee ... Show More
36m 46s
Recommended Episodes
Nov 2024
SE Radio 641: Catherine Nelson on Machine Learning in Data Science
Catherine Nelson, author of the new O’Reilly book, Software Engineering for Data Scientists, discusses the collaboration between data scientists and software engineers -- an increasingly common pairing on machine learning and AI projects. Host Philip Winston speaks with Nelson ab ... Show More
48m 19s
Nov 2024
scikit-learn & data science you own
We are at GenAI saturation, so let’s talk about scikit-learn, a long time favorite for data scientists building classifiers, time series analyzers, dimensionality reducers, and more! Scikit-learn is deployed across industry and driving a significant portion of the “AI” that is ac ... Show More
52m 2s
Jun 2024
794: Exciting (and Frightening!) Trends in Open-Source AI
Trends in open-source AI: Join Jon Krohn and a panel of data science icons as they discuss the most exciting and concerning developments in open-source AI. Hear insights from Drew Conway, Jared Lander, Emily Zabor, and JD Long on the transformative potential of AI and its future ... Show More
11m 2s
Nov 2024
NVIDIA's Jensen Huang on AI Chip Design, Scaling Data Centers, and his 10-Year Bets
In this week’s episode of No Priors, Sarah and Elad sit down with Jensen Huang, CEO of NVIDIA, for the second time to reflect on the company’s extraordinary growth over the past year. Jensen discusses AI’s takeover of datacenters and NVIDIA’s rapid development of x.AI’s superclus ... Show More
36m 53s
Nov 2024
DataStax and the Future of Real-Time Data Applications with Jonathan Ellis
DataStax is known for its expertise in scalable data solutions, particularly for Apache Cassandra, a leading NoSQL database. Recently, the company has focused on enhancing platform support for AI-driven applications, including vector search capabilities. Jonathan Ellis is the Co- ... Show More
43m 24s
Jan 2025
#229 Mitesh Agrawal: Why Lambda Labs’ AI Cloud Is a Game-Changer for Developers
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.   NetSuite is offering a one-of-a-kind flexible financing program. Head to  https://netsuite.com/EYEONAI to know more.  ... Show More
56m 7s
Jan 2025
AI Developer Tools at Google with Paige Bailey
Over the years, Google has released a variety of ML, data science, and AI developer tools and platforms. Prominent examples include Colab, Kaggle, AI Studio, and the Gemini API. Paige Bailey is the Uber Technical Lead of the Developer Relations team at Google ML Developer Tools, ... Show More
37m 28s
Mar 2025
NVIDIA RAPIDS and Open Source ML Acceleration with Chris Deotte and Jean-Francois Puget
NVIDIA RAPIDS is an open-source suite of GPU-accelerated data science and AI libraries. It leverages CUDA and significantly enhances the performance of core Python frameworks including Polars, pandas, scikit-learn and NetworkX. Chris Deotte is a Senior Data Scientist at NVIDIA an ... Show More
42m 6s
Apr 2024
Episode 192 - Google Cloud Next 2024 Recap
Join Allen Firstenberg and guest host Stefania Pecore on Two Voice Devs as they delve into the exciting announcements and highlights from Google Cloud Next 2024! This episode focuses on the latest advancements in AI and their impact on the healthcare industry, providing valuable ... Show More
40m 35s