Statistics (video 1) - Statistics of Datasets
Recordings of the corresponding course on Coursera. If you are interested in exercises and/or a certificate, have a look here: https://www.coursera.org/learn/pca-machine-learning
From playlist Statistics of Datasets
Differences between primary data and secondary data in research.
From playlist Experimental Design
Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
From playlist Statistics (Full Length Videos)
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Big Data
This lecturelet will introduce you to the series on statistical analyses of time-frequency data. For more online courses about programming, data analysis, linear algebra, and statistics, see http://sincxpress.com/
From playlist OLD ANTS #8) Statistics
Introduction to Estimation Theory
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. General notion of estimating a parameter and measures of estimation quality including bias, variance, and mean-squared error.
From playlist Estimation and Detection Theory
Statistics: Introduction to Experiments and Confounding
This lesson introduces experiments and confounding. Site: http://mathispower4u.com
From playlist Introduction to Statistics
This lesson introduces some of the common vocabulary when studying statistics. Site: http://mathispower4u.com
From playlist Introduction to Statistics
Max Tegmark - Physics of the Observer
Does the concept of observation have deep relevance in fundamental physics? What about in quantum physics where some kind of observation seems to be needed to transform “wave function” probabilities into actual events? Click here to watch more interviews with Max Tegmark http://bit.ly/2yp
From playlist Closer To Truth - Max Tegmark Interviews
Filter and Select data with Pandas in DataFrames | Python 1.7.6 Statistic and data science Tutorial
Do you know the multiples ways filter data and information in data frames? In this chapter of the video series DataFrames in the tutorial course in statistics and data science with Python we will see the multiple ways to in filter and select data Data Frames with python using Pandas. #Pa
From playlist Python
How to deal with index with iloc and loc in DataFrames Pandas | 1.7.3 Analysis Data science Python
Do you understand the differences between iloc and loc?? In this chapter of the video series DataFrames in the tutorial course in statistics and data science with Python we will see the multiple ways to explore Data Frames with python using iloc, loc, at and iat. - Defining a dataframe a
From playlist Python
Clara Grazian: Finding structures in observations: consistent(?) clustering analysis
Abstract: Clustering is an important task in almost every area of knowledge: medicine and epidemiology, genomics, environmental science, economics, visual sciences, among others. Methodologies to perform inference on the number of clusters have often been proved to be inconsistent and in
From playlist SMRI Seminars
Olfactory Search and Navigation (Lecture 2) by Antonio Celani
PROGRAM ICTP-ICTS WINTER SCHOOL ON QUANTITATIVE SYSTEMS BIOLOGY (ONLINE) ORGANIZERS Vijaykumar Krishnamurthy (ICTS-TIFR, India), Venkatesh N. Murthy (Harvard University, USA), Sharad Ramanathan (Harvard University, USA), Sanjay Sane (NCBS-TIFR, India) and Vatsala Thirumalai (NCBS-TIFR, I
From playlist ICTP-ICTS Winter School on Quantitative Systems Biology (ONLINE)
Dr Ruth King Popular Lecture 2015
Dr Ruth King giving an LMS Popular Lecture at Logan Hall, Institute of Education, on 25 June. Dr Ruth King, Reader in Statistics, University of St Andrews (from 1st September, the Thomas Bayes Chair of Statistics at the University of Edinburgh) How many...? (Estimating population sizes)
From playlist LMS Popular Lectures 2007 - present
Duality between estimation and control - Sanjoy Mitter
PROGRAM: Data Assimilation Research Program Venue: Centre for Applicable Mathematics-TIFR and Indian Institute of Science Dates: 04 - 23 July, 2011 DESCRIPTION: Data assimilation (DA) is a powerful and versatile method for combining observational data of a system with its dynamical mod
From playlist Data Assimilation Research Program
Kristi Morgansen: "Analytical & Empirical Tools for Nonlinear Network Observability in Autonomou..."
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop IV: Social Dynamics beyond Vehicle Autonomy "Analytical and Empirical Tools for Nonlinear Network Observability in Autonomous Systems" Kristi Morgansen - University of Washington Abstract: A fundamental eleme
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Public Conference 2 - M. Devoret - PRACQSYS 2018 - CEB T2 2018
Michel Devoret (Applied Physics, Yale University) / 03.07.2018 The "observer effect" in quantum mechanics / L' "effet observateur" en mécanique quantique Abstract: In general, measuring the property of a physical system changes that system. This is often the result of instruments that,
From playlist 2018 - T2 - Measurement and Control of Quantum Systems: Theory and Experiments
On Experiments for Causal Inference and System Identification, Nihat Ay
In the first part of his presentation, Professor Nihat Ay of the Max Planck Institute for Mathematics in the Sciences will provide an introduction to the field of causal networks. He will focus on instructive simple examples in order to highlight the core conceptual and philosophical ideas
From playlist Franke Program in Science and the Humanities
Data science describes the activities related to collecting, storing and creating value from data. Creating value from data means using it to do useful things, like making better decisions. By analyzing data we can detect patterns in it and understand the process that generated it. This i
From playlist Data Science Dictionary