Data Skeptic
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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Notable Guests
Episodes (607)
The Loebner Prize
Data Skeptic
Chatbots
Data Skeptic
The Master Algorithm
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The No Free Lunch Theorems
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ML at Sloan Kettering Cancer Center
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Optimal Decision Making with POMDPs
Data Skeptic
AI Decision-Making
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[MINI] Reinforcement Learning
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Evolutionary Computation
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[MINI] Markov Decision Processes
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Neuroscience Frontiers
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Neuroimaging and Big Data
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The Agent Model of Artificial Intelligence
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Artificial Intelligence, a Podcast Approach
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Holiday reading 2017
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Complexity and Cryptography
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Mercedes Benz Machine Learning Research
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[MINI] Parallel Algorithms
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Quantum Computing
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Azure Databricks
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[MINI] Exponential Time Algorithms
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P vs NP
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[MINI] Sudoku \in NP
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The Computational Complexity of Machine Learning
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[MINI] Turing Machines
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The Complexity of Learning Neural Networks
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[MINI] Big Oh Analysis
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Data science tools and other announcements from Ignite
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Generative AI for Content Creation
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[MINI] One Shot Learning
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Recommender Systems Live from FARCON 2017
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[MINI] Long Short Term Memory
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Zillow Zestimate
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Cardiologist Level Arrhythmia Detection with CNNs
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[MINI] Recurrent Neural Networks
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Project Common Voice
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[MINI] Bayesian Belief Networks
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pix2code
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[MINI] Conditional Independence
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Estimating Sheep Pain with Facial Recognition
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CosmosDB
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[MINI] The Vanishing Gradient
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Doctor AI
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[MINI] Activation Functions
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MS Build 2017
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[MINI] Max-pooling
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Unsupervised Depth Perception
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[MINI] Convolutional Neural Networks
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Multi-Agent Diverse Generative Adversarial Networks
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[MINI] Generative Adversarial Networks
Data Skeptic