The chances are that the information from this episode will come in handy to you during a coding interview and likely in real life!
In this episode, you'll learn the topological sort algorithm. Along the way, you'll understand what's a dependency graph and how topological sort operates on this data structure. We'll also discuss a few real-life examples wher ... Show More
Jan 2025
Episode 23 - Building a minimal reactive framework
This episode explores building a minimal reactive framework using signals as a reactivity primitive. We'll look into implementing a simple component model, composing components, separating the view into static and dynamic parts, and implementing fine-grained reactivity.
17m 54s
Jul 2020
Episode 21 - Maps, Hash Maps, Tree Maps, and Hash Tables
Today in less than 20 minutes, we'll explore what maps are and how they work under the hood. We'll talk about the differences between treemaps, hash maps, and hash tables. We'll dig pretty in-depth...By the end of the episode, you'll understand how to implement hash tables using ... Show More
16m 30s
Sep 2020
Marcello La Rocca on Algorithms and Data Structures
Q McCallum (Senior Content Advisor at Formulatedby, the company behind Data Science Salon) met up with Marcello La Rocca, someone who compiled his extensive knowledge of algorithms into a rather hefty book on the topic. In this episode, the author of Algorithms and Data Structur ... Show More
1h 2m
Apr 2020
Keeping ourselves honest when we work with observational healthcare data
The abundance of data in healthcare, and the value we could capture from structuring and analyzing that data, is a huge opportunity. It also presents huge challenges. One of the biggest challenges is how, exactly, to do that structuring and analysis—data scientists working with t ... Show More
19m 8s
Jul 2018
175: Insights from the Founder of KDnuggets
In this episode of the SuperDataScience Podcast, I chat with the President and Editor at KDNuggets, Gregory Piatetsky-Shapiro. You will hear about the recent advancements in Data Science, learn how Reinforcement Learning can greatly improve AI capabilities, and learn about the no ... Show More
53m 22s
Nov 2017
The Kaggle Survey on Data Science
Want to know what's going on in data science these days? There's no better way than to analyze a survey with over 16,000 responses that recently released by Kaggle. Kaggle asked practicing and aspiring data scientists about themselves, their tools, how they find jobs, what they ... Show More
25m 20s
Jul 2017
067: Latest Developments in the Field of AI and How it is Changing the World
In this episode of the SuperDataScience Podcast, I chat with Vice President of Research at Sentient AI, Risto Miikkulainen. You will hear about the applications of AI across multiple fields, learn about the 2 types of AI - the Evolutionary Algorithms and Reinforcement Learning Al ... Show More
38m 57s
Sep 2023
The effect of quality on Search
In this episode of Search, John and Gary discuss the impact of quality on search results. From sitemaps to scheduling and more, the Google Search team talks about how the quality of the page and site plays a role in crawling and indexing, besides ranking. Do you need to update yo ... Show More
20m 45s