The Right (big data) Tool for the Job with Jay Shankar
Data Skeptic7 Juli 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.

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(601)

Earthquake Detection with Crowd-sourced Data

Earthquake Detection with Crowd-sourced Data

Have you ever wanted to hear what an earthquake sounds like? Today on the show we have Omkar Ranadive, Computer Science Masters student at NorthWestern University, who collaborates with Suzan van der ...

25 Dec 202029min

Byzantine Fault Tolerant Consensus

Byzantine Fault Tolerant Consensus

Byzantine fault tolerance (BFT) is a desirable property in a distributed computing environment. BFT means the system can survive the loss of nodes and nodes becoming unreliable. There are many differe...

22 Dec 202035min

Alpha Fold

Alpha Fold

Kyle shared some initial reactions to the announcement about Alpha Fold 2's celebrated performance in the CASP14 prediction.  By many accounts, this exciting result means protein folding is now a solv...

11 Dec 202023min

Arrow's Impossibility Theorem

Arrow's Impossibility Theorem

Above all, everyone wants voting to be fair. What does fair mean and how can we measure it? Kenneth Arrow posited a simple set of conditions that one would certainly desire in a voting system. For exa...

4 Dec 202026min

Face Mask Sentiment Analysis

Face Mask Sentiment Analysis

As the COVID-19 pandemic continues, the public (or at least those with Twitter accounts) are sharing their personal opinions about mask-wearing via Twitter. What does this data tell us about public op...

27 Nov 202041min

Counting Briberies in Elections

Counting Briberies in Elections

Niclas Boehmer, second year PhD student at Berlin Institute of Technology, comes on today to discuss the computational complexity of bribery in elections through the paper "On the Robustness of Winner...

20 Nov 202037min

Sybil Attacks on Federated Learning

Sybil Attacks on Federated Learning

Clement Fung, a Societal Computing PhD student at Carnegie Mellon University, discusses his research in security of machine learning systems and a defense against targeted sybil-based poisoning called...

13 Nov 202031min

Differential Privacy at the US Census

Differential Privacy at the US Census

Simson Garfinkel, Senior Computer Scientist for Confidentiality and Data Access at the US Census Bureau, discusses his work modernizing the Census Bureau disclosure avoidance system from private to pu...

6 Nov 202029min

Populärt inom Vetenskap

allt-du-velat-veta
dumma-manniskor
p3-dystopia
rss-ufobortom-rimligt-tvivel
ufo-sverige
kapitalet-en-podd-om-ekonomi
sexet
medicinvetarna
svd-nyhetsartiklar
rss-vetenskapsradion
hacka-livet
rss-vetenskapsradion-2
paranormalt-med-caroline-giertz
det-morka-psyket
ufo-sverige-2
rss-spraket
halsorevolutionen
rss-klotet
dumforklarat
ideer-som-forandrar-varlden