Self Driving Cars and Pedestrians
Data Skeptic18 Apr 2020

Self Driving Cars and Pedestrians

Episoder(590)

Data Skeptic: Ad Tech

Data Skeptic: Ad Tech

Increasingly, people get most if not all of the information they consume online. Alongside the web sites, videos, apps, and other destinations, we're consistently served advertisements alongside the organic content we search for or discover. Targetted ads make it possible for you to discover relevant new products you might otherwise not have heard about. Targetting can also open a pandora's box of ethical considerations. Online advertising is a complex network of automated systems. Algorithms controlling algorithms controlling what we see. This season of Data Skeptic will focus on the applications of data science to digital advertising technology. In this first episode in particular, Kyle shares some of his own personal experiences and insights working in pay-per-click marketing. Click for additional show notes

18 Jun 202242min

The Reliability of Mobile Phone Data

The Reliability of Mobile Phone Data

Our mobile phones generate an incredible amount of data inbound and outbound. In today's episode, Nishant Kishore, a PhD graduate of Harvard University in Infectious Disease Epidemiology, explains how mobility data from mobile phones can be captured and analysed to understand the spread of infectious diseases. Click here for additional show notes Thanks to our sponsor! https://neptune.ai/ Log, store, query, display, organize, and compare all your model metadata in a single place

13 Jun 202249min

Haywire Algorithms

Haywire Algorithms

The pandemic changed how we lived. And this had a ripple effect on the performance of machine learning models. Ravi Parikh joins us today to discuss how the pandemic has affected the performance of machine learning models in clinical care and some actionable steps to fix it. Click here for additional show notes Thanks to our sponsor: Astera Centerprise is a no-code data integration platform that allows users to build ETL/ELT pipelines for modern data warehousing and analytics.

6 Jun 202233min

School Reopening Analysis

School Reopening Analysis

Carly Lupton-Smith joins us today to speak about her research which investigated the consistency between household and county measures of school reopening. Carly is a doctoral researcher in Biostatistics at Johns Hopkins Bloomberg School of Public Health. Listen to know about her findings. Click here for additional show notes on our website! Thanks to our sponsor!ClearML is an open-source MLOps solution users love to customize, helping you easily Track, Orchestrate, and Automate ML workflows at scale. Astera Centerprise is a no-code data integration platform that allows users to build ETL/ELT pipelines for modern data warehousing and analytics.

30 Mai 202233min

Modern Data Stacks

Modern Data Stacks

Today, we are joined by Alexander Thor, a Product Manager at Vizlib, makers of Astrato. Astrato is a data analytics and business intelligence tool built on the cloud and for the cloud. Alexander discusses the features and capabilities of Astrato for data professionals. Visit our website for additional show notes!

26 Mai 202234min

Emoji as a Predictor

Emoji as a Predictor

Emojis are arguably one of the most effective ways to express emotions when texting. In today's episode, Xuan Lu shares her research on the use of emojis by developers. She explains how the study of emojis can track the emotions of remote workers and predict future behavior. Listen to find out more!

23 Mai 202221min

Polarizing Trends in the Gig Economy

Polarizing Trends in the Gig Economy

On the show today, Fabian Braesemann, a research fellow at the University of Oxford, joins us to discuss his study analyzing the gig economy. He revealed the trends he discovered since remote work became mainstream, the factors causing spatial polarization and some downsides of the gig economy. Listen to learn what he found.

16 Mai 202246min

Remote Learning in Applied Engineering

Remote Learning in Applied Engineering

On the show today, we interview Mouhamed Abdulla, a professor of Electrical Engineering at Sheridan Institute of Technology. Mouhamed joins us to discuss his study on remote teaching and learning in applied engineering. He discusses how he embraced the new approach after the pandemic, the challenges he faced and how he tackled them. Listen to find out more. Click here for additional show notes on our website! Thanks to our sponsor! https://neptune.ai/ Log, store, query, display, organize, and compare all your model metadata in a single place

12 Mai 202225min

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