The Right (big data) Tool for the Job with Jay Shankar
Data Skeptic7 Jul 2014

The Right (big data) Tool for the Job with Jay Shankar

In this week's episode, we discuss applied solutions to big data problem with big data engineer Jay Shankar. The episode explores approaches and design philosophy to solving real world big data business problems, and the exploration of the wide array of tools available.

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Episoder(601)

Holiday reading 2017

Holiday reading 2017

We break format from our regular programming today and bring you an excerpt from Max Tegmark's book "Life 3.0".  The first chapter is a short story titled "The Tale of the Omega Team".  Audio excerpte...

22 Des 201712min

Complexity and Cryptography

Complexity and Cryptography

This week, our host Kyle Polich is joined by guest Tim Henderson from Google to talk about the computational complexity foundations of modern cryptography and the complexity issues that underlie the f...

15 Des 201735min

Mercedes Benz Machine Learning Research

Mercedes Benz Machine Learning Research

This episode features an interview with Rigel Smiroldo recorded at NIPS 2017 in Long Beach California.  We discuss data privacy, machine learning use cases, model deployment, and end-to-end machine le...

14 Des 201727min

[MINI] Parallel Algorithms

[MINI] Parallel Algorithms

When computers became commodity hardware and storage became incredibly cheap, we entered the era of so-call "big" data. Most definitions of big data will include something about not being able to proc...

8 Des 201720min

Quantum Computing

Quantum Computing

In this week's episode, Scott Aaronson, a professor at the University of Texas at Austin, explains what a quantum computer is, various possible applications, the types of problems they are good at sol...

1 Des 201747min

Azure Databricks

Azure Databricks

I sat down with Ali Ghodsi, CEO and found of Databricks, and John Chirapurath, GM for Data Platform Marketing at Microsoft related to the recent announcement of Azure Databricks. When I heard about th...

28 Nov 201728min

[MINI] Exponential Time Algorithms

[MINI] Exponential Time Algorithms

In this episode we discuss the complexity class of EXP-Time which contains algorithms which require $O(2^{p(n)})$ time to run.  In other words, the worst case runtime is exponential in some polynomial...

24 Nov 201715min

P vs NP

P vs NP

In this week's episode, host Kyle Polich interviews author Lance Fortnow about whether P will ever be equal to NP and solve all of life's problems. Fortnow begins the discussion with the example quest...

17 Nov 201738min

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