**What is a Bayesian Neural Network?** - Dec 5, 2017.

BNNs are important in specific settings, especially when we care about uncertainty very much.

Tags: Bayesian, Bayesian Networks, Neural Networks

**Top KDnuggets tweets, Nov 15-21: DeepLearning is “shallow”: here are underlying concepts you need** - Nov 27, 2017.

Also: New Poll: Data Science / Machine Learning methods you used; The amazing predictive power of conditional probability in Bayes Nets; The 10 Statistical Techniques Data Scientists Need to Master.

Tags: Bayesian Networks, Deep Learning, Speech Recognition, Top tweets

**The amazing predictive power of conditional probability in Bayes Nets** - Nov 13, 2017.

This article explains how Bayes Nets gain remarkable predictive power by their use of conditional probability. This adds to several other salient strengths, making them a preeminent method for prediction and understanding variablesâ€™ effects.

Tags: Bayesian, Bayesian Networks, Monty Hall, Predictive Models

**How Bayesian Networks Are Superior in Understanding Effects of Variables** - Nov 9, 2017.

Bayes Nets have remarkable properties that make them better than many traditional methods in determining variablesâ€™ effects. This article explains the principle advantages.

Tags: Bayesian, Bayesian Networks, Predictive Models, Probability, Regression, Statistics

**5 Tribes of Machine Learning: Nov 24 ACM Webinar with Pedro Domingos, moderated by Gregory Piatetsky** - Nov 10, 2015.

Prof. Pedro Domingos, a leading AI/Machine Learning researcher will talk about 5 main schools in machine learning, each with its own master algorithm, a possible universal Master Algorithm, and implications for society. KDnuggets Editor Gregory Piatetsky will moderate.

Tags: ACM, Bayesian Networks, Deep Learning, Pedro Domingos, Support Vector Machines

**BayesiaLab User Conference, Sep 16-24, UCLA** - Sep 2, 2014.

Research practitioners from leading organizations will gather at UCLA for the only event dedicated to applied research and analytics with Bayesian networks and BayesiaLab. Pre-conference program includes courses on BayesiaLab and Causal Inference with Graphical Models.

Tags: BayesiaLab, Bayesian Networks, Judea Pearl, Los Angeles-CA, UCLA

**Globys: Research Scientist – Dynamic Bayesian Networks** - Mar 31, 2014.

Developing core science into advanced technical capabilities that work on real-world problems at scale, presenting to stakeholders, and delivering the output to software architects.

Tags: Bayesian Networks, Seattle-WA