(ML 13.6) Graphical model for Bayesian linear regression
As an example, we write down the graphical model for Bayesian linear regression. We introduce the "plate notation", and the convention of shading random variables which are being conditioned on.
From playlist Machine Learning
MapReduce Design Patterns Tutorial - 1 | MapReduce Design Patterns Tutorial for Beginners - 1
Watch Sample Class recording: http://www.edureka.co/mapreduce-design-patterns?utm_source=youtube&utm_medium=referral&utm_campaign=mapreduce-ds-tut1 MapReduce Design Pattern is a template for solving a common and general data manipulation problem with MapReduce. A pattern is not specific t
From playlist MapReduce Design Patterns Tutorial Videos
Patterns for Organization of Data | MapReduce Design Patterns Tutorial
Watch Sample Class recording: http://www.edureka.co/mapreduce-design-patterns?utm_source=youtube&utm_medium=referral&utm_campaign=mapreduce-data-org-1 MapReduce Design Pattern is a template for solving a common and general data manipulation problem with MapReduce. A pattern is not specifi
From playlist MapReduce Design Patterns Tutorial Videos
(ML 13.3) Directed graphical models - formalism (part 1)
Definition of a directed graphical model, or more precisely, what it means for a distribution to respect a directed acyclic graph.
From playlist Machine Learning
(ML 13.4) Directed graphical models - formalism (part 2)
Definition of a directed graphical model, or more precisely, what it means for a distribution to respect a directed acyclic graph.
From playlist Machine Learning
Reducing Barriers—The Data Modeler GUI
For the latest information, please visit: http://www.wolfram.com Speaker: Mark Kotancheck The Data Modeler GUI allows those lacking a Mathematica foundation to tap into the power of the Data Modeler framework with a minimal learning curve. This presentation reviews the Data Modeler GUI d
From playlist Wolfram Technology Conference 2014
Overview of MapReduce | Why MapReduce Design Patterns | MapReduce Design Patterns Paradigm | Edureka
Watch Sample Class recording: http://www.edureka.co/mapreduce-design-patterns?utm_source=youtube&utm_medium=referral&utm_campaign=mapreduce-over-ds MapReduce Design Pattern is a template for solving a common and general data manipulation problem with MapReduce. A pattern is not specific t
From playlist MapReduce Design Patterns Tutorial Videos
Iterates of the Logistic Map in 3D
http://demonstrations.wolfram.com/IteratesOfTheLogisticMapIn3D/ The Wolfram Demonstrations Project contains thousands of free interactive visualizations, with new entries added daily. The logistic map is defined by the iteration xn+1=rxn(1-xn). See the sequence of values of xn reache
From playlist Wolfram Demonstrations Project
(TUA2) Keynote: The rise of model-based data and its implications for social science and policy
Taken from 'Towards urban analytics 2.0' Keynote: The rise of model-based data and its implications for social science and policy. In this talk Seth will argue that data in the social sciences are undergoing a fundamental shift. Increasingly, the data used by social scientists are the ou
From playlist Towards urban analytics 2.0
Maurice Herlihy: Distributed Computing through Combinatorial Topology
The lecture was held within the framework of the Hausdorff Trimester Program : Applied and Computational Algebraic Topology Models and techniques borrowed from classical combinatorial algebraic topology have yielded a variety of new lower bounds and impossibility results for distributed a
From playlist HIM Lectures: Special Program "Applied and Computational Algebraic Topology"
Computer Graphics as a Telecommunication Medium
(February 13, 2009) Vladlen Koltun, an Assistant Professor of Computer Science at Stanford University, talks about recent research in virtual worlds and attempts to alleviate the difficulties faced within this field. Stanford University: http://www.stanford.edu/ Stanford Center for
From playlist Course | Human-Computer Interaction Seminar (2008-2009)
Communication and Query Complexity of Bipartite Perfect Matching - Yuval Efron
Computer Science/Discrete Mathematics Seminar I Topic: Communication and Query Complexity of Bipartite Perfect Matching Speaker: Yuval Efron Affiliation: Columbia University Date: November 14, 2022 In this talk, I'll discuss a recent result where we settle the complexities of the maximum
From playlist Mathematics
Where: Jack Dangermond, "Realizing Spatial Intelligence on
Jack Dangermond (ESRI) "Realizing Spatial Intelligence on the GeoWeb"
From playlist Where 2.0 2009
DSI | A Biased Tour of the Uncertainty Visualization Zoo | By Matthew Kay
Uncertain predictions permeate our daily lives (“will it rain today?”, “how long until my bus shows up?”, “who is most likely to win the next election?”). Fully understanding the uncertainty in such predictions would allow people to make better decisions, yet predictive systems usually com
From playlist DSI Virtual Seminar Series
Map-based visualization of RF propagation for wireless communications
Do you need to study and understand the communication link between a base-station and a mobile phone, or the ability of your transmitter to cover a certain geographic area? Many different parameters affect the quality of the link between a transmitter and a receiver, such as the position,
From playlist Designing RF front end for 5G NR
Dr. Franco Pestilli - 2016 Peebles Memorial Lecture Series
The 2016 Peebles Memorial Lecture, "Big data and high-performance computing, opportunities for neuroscience research", presented by Dr. Franco Pestilli, Assistant Professor of Psychology, Neuroscience and Cognitive Science, Indiana Network Science Institute, Indiana University Neuroscienc
From playlist Peebles Memorial Lectures in Information Technology
Day 2 Lightning Talks: Federated Optimization and Analytics
A Google TechTalk, Lightning Talks presented by 7 Speakers, 2021/11/9 ABSTRACT: Each talk is 7 min. plus Q&A. Track 2 - Session Chair: Sean Augenstein (Federated Optimization & Analytics) 1. Athina Markopoulou - Location Leakage in Federated Signal Maps 2. Eugene Bagdasaryan - Federated
From playlist 2021 Google Workshop on Federated Learning and Analytics
Jack Dangermond Interviewed at Gov 2.0
Jack Dangermond is the founder and president of ESRI. Founded in 1969 and headquartered in Redlands, California, ESRI is widely recognized as the technical and market leader in geographic information system (GIS) software, pioneering innovative solutions for working with spatial data on th
From playlist Gov 2.0 Expo 2010
