From playlist Exploratory Data Analysis
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
01b Spatial Data Analytics: Subsurface Data
Lecture of the data available for subsurface modeling.
From playlist Spatial Data Analytics and Modeling
Intro to Data Science: What is Data Science?
This lecture provides an overview of the various components of data science, including data collection, cleaning, and curation, along with visualization, analysis, and machine learning (i.e. building models with data). These will be some of the topics discussed in this lecture series.
From playlist Intro to Data Science
07d Data Analytics: Hypothesis Testing Take II
A short discussion of hypothesis testing (Take II) with a focus on a practical example spatial problem and an intuitive explanation.
From playlist Data Analytics and Geostatistics
10b Data Analytics: Spatial Continuity
Lecture on the impact of spatial continuity to motivate characterization and modeling of spatial continuity.
From playlist Data Analytics and Geostatistics
Business Data Analysis with Excel
Business data presents a challenge for the data analyst. Business data is often aggregated, recorded over time, and tends to exhibit autocorrelation. Additionally, and most problematically, the amount of business data is usually quite limited. These characteristics lead to a situation wher
From playlist Data Analytics Tutorials
Data Exploration & Visualization | Introduction to Data Mining part 20
In this Data Mining Fundamentals tutorial, we introduce you to data exploration and visualization and what they are to data mining. Data exploration is visualization and calculation to better understand characteristics of data. We will tell you the key motivations of data exploration as we
From playlist Introduction to Data Mining
Empirical Mode Decomposition (1D, univariate approach)
Introduction to the Empirical Mode Decomposition - EMD - (one-dimensional, univariate version), which is a data decomposition method for non-linear and non-stationary data. This video covers the main features of the EMD and the working principle of the algorithm. The EMD is briefly compar
From playlist Summer of Math Exposition Youtube Videos
Two methods of power-based connectivity
This video lesson is part of a complete course on neuroscience time series analyses. The full course includes - over 47 hours of video instruction - lots and lots of MATLAB exercises and problem sets - access to a dedicated Q&A forum. You can find out more here: https://www.udemy.
From playlist NEW ANTS #4) Synchronization
Emily King - PCA is not dead: Vectorized persistent homology and flag medians - IPAM at UCLA
Recorded 26 October 2022. Emily King of Colorado State University presents "PCA is not dead: Vectorized persistent homology and flag medians" at IPAM's Mathematical Advances for Multi-Dimensional Microscopy Workshop. Abstract: In this talk two methods will be presented which both make use
From playlist 2022 Mathematical Advances for Multi-Dimensional Microscopy
EnCase Computer Forensics Demo
This is a short demo of EnCase I worked up. If you are interested in some of what professional computer forensics software can do then this is for you.
From playlist digital forensics
mod-29 lec-30 Design Analysis of ORBIT Motor - II : Geometric Volume Displacement
Fundamentals of Industrial Oil Hydraulics and Pneumatics by Prof. R.N. Maiti,Department of Mechanical Engineering,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Fundamentals of Industrial Oil Hydraulics and Pneumatics (CosmoLearning Mechanical Engineering)
Computing with Randomness: Probability Theory and the Internet
October 21, 2010 - In recent years, probability theory has come to play an increasingly important role in computing. Professor Sahami gives examples of how probability underlies a variety of applications on the Internet including web search and email spam filtering. This lecture is offered
From playlist Reunion Homecoming
Stéphane Mallat - Apprentissage par invariants en grande dimension
Apprentissage par invariants en grande dimension : de l’image ou de la musique à la chimie quantique Huawei-IHÉS Workshop on Mathematical Sciences Tuesday, May 5th 2015
From playlist Huawei-IHÉS Workshop on Mathematical Sciences
This video lesson is part of a complete course on neuroscience time series analyses. The full course includes - over 47 hours of video instruction - lots and lots of MATLAB exercises and problem sets - access to a dedicated Q&A forum. You can find out more here: https://www.udemy.
From playlist NEW ANTS #3) Time-frequency analysis
Investigating the structure of molecules inside cells
International Lecture given by Professor Wolfgang Baumeister. Professor Baumeister will discuss a method, cryo-electrontomography, that has the unique potential to study the ‘molecular sociology’ of cells, combining the best structural preservation with 3D high resolution imaging.
From playlist Latest talks and lectures
Bayesian model selection of population synthesismodels of CBCs by Sumit Kumar
20 March 2017 to 25 March 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru This joint program is co-sponsored by ICTS and SAMSI (as part of the SAMSI yearlong program on Astronomy; ASTRO). The primary goal of this program is to further enrich the international collaboration in the area
From playlist Time Series Analysis for Synoptic Surveys and Gravitational Wave Astronomy
Data Modeling Tutorial | Data Modeling for Data Warehousing | Data Warehousing Tutorial | Edureka
***** Data Warehousing & BI Training: https://www.edureka.co/data-warehousing-and-bi ***** Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, th
From playlist Data Warehousing Tutorial Videos