Data Skeptic
Summary: 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 critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
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- Artist: Kyle Polich
- Copyright: Creative Commons Attribution License 3.0
Podcasts:
Generative AI for Content Creation
[MINI] One Shot Learning
Recommender Systems Live from FARCON 2017
A Long Short Term Memory (LSTM) is a neural unit, often used in Recurrent Neural Network (RNN) which attempts to provide the network the capacity to store information for longer periods of time. A LSTM unit remembers values for either long or short time periods. The key to this ability is that it uses no activation function within its recurrent components. Thus, the stored value is not iteratively modified and the gradient does not tend to vanish when trained with backpropagation through time.
Zillow Zestimate
Cardiologist Level Arrhythmia Detection with CNNs
[MINI] Recurrent Neural Networks
Project Common Voice
A Bayesian Belief Network is an acyclic directed graph composed of nodes that represent random variables and edges that imply a conditional dependence between them. It's an intuitive way of encoding your statistical knowledge about a system and is efficient to propagate belief updates throughout the network when new information is added.
In this episode, Tony Beltramelli of UIzard Technologies joins our host, Kyle Polich, to talk about the ideas behind his latest app that can transform graphic design into functioning code, as well as his previous work on spying with wearables.
[MINI] Conditional Independence
Estimating Sheep Pain with Facial Recognition
CosmosDB
[MINI] The Vanishing Gradient
Doctor AI
