Tiny Data, Approximate Bayesian Computation and the Socks of Karl Broman
This is a talk I presented at the UseR! 2015 conference in Aalborg, Denmark. It is a quick'n'dirty introduction to Approximate Bayesian Computation that is based ...
rasmusab
Statistical & Computational Challenges of News Clustering by Jeiran Jahani | DataEngConf NYC '16
WANT TO EXPERIENCE A TALK LIKE THIS LIVE? Barcelona: https://www.datacouncil.ai/barcelona New York City: https://www.datacouncil.ai/new-york-city San ...
Data Council
High Performance Advanced Analytics with Spark Alchemy - Sim Simeonov was (Swoop)
Pre-aggregation is a powerful analytics technique as long as the measures being computed are reaggregable. Counts reaggregate with SUM, minimums with ...
Databricks
Module 2 lecture 3 Fuzzy Rule base and Approximate Reasoning
Lectures by Prof. Laxmidhar Behera, Department of Electrical Engineering, Indian Institute of Technology, Kanpur. For more details on NPTEL visit ...
nptelhrd
Introduction to Bayesian statistics, part 1: The basic concepts
An introduction to the concepts of Bayesian analysis using Stata 14. We use a coin toss experiment to demonstrate the idea of prior probability, likelihood ...
StataCorp LLC
Interpretable machine learning (part 2): ICE, partial dependency plots and surrogate models
Interpreting machine learning models is one of the new hot areas in data science. As calls for greater transparency in algorithms become stronger, researchers ...
Stylianos Kampakis
06 Understanding Granularity
Data Warehouse
Approximate Bayesian Computation – Part 1
Tuesday, 23rd July Time: 17:30 – 19:30 (BST)
ICML IJCAI ECAI 2018 Conference Videos
Understanding Deep Neural Networks: From Generalization to Interpretability - Gitta Kutyniok
Seminar on Theoretical Machine Learning Topic: Understanding Deep Neural Networks: From Generalization to Interpretability Speaker: Gitta Kutyniok ...
Institute for Advanced Study
LISA17 - Queueing Theory in Practice: Performance Modeling for the Working Engineer
Eben Freeman, Honeycomb.io @_emfree_ Cloud! Autoscaling! Kubernetes! Etc! In theory, it's easier than ever to scale a service based on variable demand.
USENIX
Rough Set theory as a Framework for Data mining Machine Learning & Artificial Intelligence
Kindly Increase volume of video with the help of speakers as volume is bit low. sorry for inconvenience. For Queries and pdf- Email: ayeshabutalia@yahoo.co.in ...
Dr. Ayesha Butalia
Data Driven Discovery of Dynamical Systems and PDEs
This video highlights recent innovations in data-driven model discovery for differential and partial differential equation systems. This work is largely in ...
Nathan Kutz
Handmade Hero Day 440 - Introduction to Function Approximation with Andrew Bromage
Day 440 of coding on Handmade Hero. See http://handmadehero.org for details.
Molly Rocket
Artificial Intelligence and the human brain | Peter Dayan is Humboldt Professor for AI
How do living creatures think and make decisions? And how does artificial intelligence do it? Peter Dayan, a leading international researcher in theoretical ...
Alexander von Humboldt-Stiftung
Uncertainty and active inference - Thomas Parr keynote at HLAI
Thomas Parr, PhD Candidate at the Institute of Neurology University College London, gives a keynote at the Human-Level AI Conference in Prague in August ...
GoodAI
Session 3. Mark Beaumont: Approximate Bayesian computation
Title: Approximate Bayesian computation: Methods and applications for complex systems Abstract: Approximate Bayesian computation (ABC) is a method for ...
IIASA
The Ethical Algorithm
Michael Kearns (University of Pennsylvania) https://simons.berkeley.edu/events/kearns# Theoretically Speaking.
Simons Institute
Linking learning outcomes through curriculum mapping
The Harvard Initiative for Learning and Teaching (HILT) welcomed MIT Professor of Aeronautics & Astronautics Karen Willcox on January 26, 2016 in a talk at ...
Harvard University
Serverless Compute on Google Cloud: What's New (Cloud Next '18)
Join us to learn what's new in serverless compute on Google Cloud Platform. We will share the latest developments in App Engine and Cloud Functions and ...
Google Cloud Platform
MIA: Sami Farhi, Optical Profiling Platform; Adam Cohen, Optical neuroscience’s new comp. challenges
Models, Inference and Algorithms October 23, 2019 Meeting: https://youtu.be/ewKhY9yHoIs?list=PLlMMtlgw6qNjROoMNTBQjAcdx53kV50cS&t=3297 Sami ...
Broad Institute
Kabbage Data Platform 3.0 & Tableau - Our Move to the Cloud
Kyle Burke, Head of Data Platform, Kabbage Jason Hwa, Head of Reporting & BI, Kabbage Brian Dirking, Sr. Director of Partner Marketing, Databricks.
Databricks
Risk and robustness in RL: Nothing ventured, nothing gained - Shie Mannor
Workshop on New Directions in Reinforcement Learning and Control Topic: Risk and robustness in RL: Nothing ventured, nothing gained Speaker: Shie Mannor ...
Institute for Advanced Study
Snowflake Office Hours: Exchange Solutions
What are Snowflake Office Hours? • Live, 30-minute case study and Q&A sessions with a Snowflake customer. • Ask industry peers questions about their ...
Snowflake Inc.
How Rakuten Migrated the Data of 10 Million Customers to the Cloud
Rakuten, one of the largest loyalty programs in the US, has a mission to enable its employees to derive insights from company data faster, with more security, ...
Snowflake Inc.
From Theory to Practice: Empowering Users to Make Privacy Decisions (Serge Egelman)
The advent of the smartphone has heralded in an era of unprecedented access to rich user data. This has allowed third-party applications to innovate by ...
Berkeley School of Information
Levon Nurbekyan: "Computational methods for nonlocal mean field games with applications"
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop III: Mean Field Games and Applications "Computational methods for nonlocal mean field games with ...
Institute for Pure & Applied Mathematics (IPAM)
Optimal Data-Dependent Hashing for Nearest Neighbor Search
Alex Andoni, Columbia University Computational Complexity of Low-Polynomial Time Problems https://simons.berkeley.edu/talks/alex-andoni-2015-12-01.
Simons Institute
AWS re:Invent 2017: GPS: SaaS Metrics: The Ultimate View of Tenant Consumption (GPSTEC308)
SaaS architects must always have their finger on the pulse of tenant consumption. Understanding the patterns for tenant consumption provides both business ...
Amazon Web Services
Li: An Integrated Computational & Experimental Material Design Framework (Jones Seminar)
An Integrated Computational & Experimental Material Design Framework: Elucidating the Competing Failure and Deformation Mechanisms.” Jones Seminar on ...
Thayer School of Engineering at Dartmouth
Deep Credit Risk Ranking with LSTM (Kyle Grove)
Kyle Grove is Teradata's Chief Data Scientist for the Wells Fargo Relationship. This session covers: -A machine learning ensemble including LSTM that achieves ...
Databricks
Live CEOing Ep 304: High-Resolution Displays in Wolfram Language
Watch Stephen Wolfram and teams of developers in a live, working, language design meeting. This episode is about High-Resolution Displays in the Wolfram ...
Wolfram
On Computational Thinking, Inferential Thinking and Data Science
Speaker: Michael I. Jordan, Professor, Statistics & EECS, University of California, Berkeley Berkeley Distinguished Lectures in Data Science, Fall 2017 ...
Berkeley Institute for Data Science (BIDS)
Simplify Your Migration to AWS and Cut Costs by 30% with TSO Logic
Learn more at http://amzn.to/2tEkVjV. Identifying how much compute you have, how it's used, and the financial benefits of migrating to the cloud can be complex ...
Amazon Web Services
How Multi-Touch Attribution Is Transforming Marketing Decision Making
Enhanced consumer-level marketing impact analysis, often called attribution, is evolving rapidly, creating new insights about advertising impact and ...
Marketing Science Institute
Computational Social Science Initiative: A Simple Generative Model of Collective Online Behavior
Mason Porter (Oxford) Mason Porter is Professor of Nonlinear and Complex Systems at the Mathematical Institute at University of Oxford. His research interests ...
Oxford Internet Institute, University of Oxford
Personal Digital Archives: Studying the Past in the Future | Dr. Sudheendra Hangal
For the first time in human history, billions of people have the ability to collect detailed life-logs -- records of where they went, who they met, what they wrote, etc.
Ashoka University
Toward the first quantum simulation with quantum speedup
by Andrew Childs, professor, Department of Computer Science and Institute for Advanced Computer Studies, University of Maryland Co-director, Joint Center for ...
IBM Research
SC2x Live Episode II - Network Design Industry Expert
Join our industry expert to talk about network design for the supply chain. Bonus material for verified learners as part of https://micromasters.mit.edu/scm/
MIT Center for Transportation & Logistics
Lecture 13 - Approximate Inference: Monte Carlo and Sequential Monte Carlo methods
https://sailinglab.github.io/pgm-spring-2019/
10-708 PGM
Faculty Summit 2016 - Spatial Audio for Augmented and Virtual Reality
Head mounted displays for virtual and augmented reality are a hot topic for research and product development. Integral part of these devices is the spatial audio ...
Microsoft Research
CppCon 2019: S. Al Bahra, H. Sowa, P. Khuong,“What Programmers Should Know About Memory Allocation”
http://CppCon.org — Discussion & Comments: https://www.reddit.com/r/cpp/ — Presentation Slides, PDFs, Source Code and other presenter materials are ...
CppCon
Valentin Schmutz - Mean-field limit for large networks of multidimensional spiking neurons
ICMNS 2020 Digital
