Data Skeptic

By Kyle PolichScience Technology Mathematics

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2nd
on Mathematics
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Typical duration
37 min
per episode

Based on Podcast App listening data

Data Skeptic episodes

June 21, 2022 Algorithmic PPC Management
Effectively managing a large budget of pay per click advertising demands software solutions. When spending multi-million dollar budgets on hundreds of thousands of keywords, an effective algorithmic strategy is required to optimize marketing objectives.

In this episode, Nathan Janos joins us to share insights from his work in the ad tech industry.

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Thanks to our sponsor! https://wandb.com/ The developer-first MLOps platform. Build better models faster with experiment tracking, dataset versioning, and model management.
44 min
June 18, 2022 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.

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43 min
June 13, 2022 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.

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Thanks to our sponsor! https://neptune.ai/ Log, store, query, display, organize, and compare all your model metadata in a single place
50 min
June 06, 2022 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.

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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.
34 min
May 30, 2022 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.

34 min
May 26, 2022 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!

35 min
May 23, 2022 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!
22 min
May 16, 2022 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.
47 min
May 12, 2022 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.

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Thanks to our sponsor! https://neptune.ai/

Log, store, query, display, organize, and compare all your model metadata in a single place

26 min
May 09, 2022 Remote Productivity
It is difficult to estimate the effect on remote working across the board. Darja Šmite, who speaks with us today, is a professor of Software Engineering at the Blekinge Institute of Technology. In her recently published paper, she analyzed data on several companies' activities before and after remote working became prevalent. She discussed the results found, why they were and some subtle drawbacks of remote working. Check it out!

Click here for additional show notes on our website!
30 min

About Data Skeptic

From the publisher's feed

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying…