Mod-02 Lec-09 Householder Method, Tridiagonal Matrices
Mathematical Methods in Engineering and Science by Dr. Bhaskar Dasgupta,Department of Mechanical Engineering,IIT Kanpur.For more details on NPTEL visit ...
nptelhrd
Representing functions and solving differential equations| Benet & Sanders
Representing functions and solving differential equations rigorously with Taylor models: We approximate a function rigorously with Julia: find a Taylor series that ...
The Julia Programming Language
Statistical methods used to calculate sample sizes
This Video covers the statistical methods used to calculate sample sizes for both attribute and variables data. Methods for collecting the sample will be covered.
GlobalCompliance Panel
JuliaCon 2017 | Equations, inequalities and global optimisation | David P. Sanders
Visit http://julialang.org/ to download Julia.
The Julia Programming Language
Bootstrap Confidence Interval with Examples | Statistics Tutorial #36 | MarinStatsLectures
Bootstrap Confidence Interval: How to Do Confidence Interval with the Bootstrap; the Concept! Related R Video: How to Construct Confidence Interval with ...
MarinStatsLectures-R Programming & Statistics
Time Series Prediction
Time series is the fastest growing category of data out there! It's a series of data points indexed in time order. Often, a time series is a sequence taken at ...
Siraj Raval
JuliaCon 2020 | AlgebraicJulia: Applied Category Theory in Julia | James Fairbanks
Applied Category Theory is a new paradigm of applied mathematics that incorporates the advances in type theory to analyze scientific and engineering systems.
The Julia Programming Language
S11.1 Simulation
MIT RES.6-012 Introduction to Probability, Spring 2018 View the complete course: https://ocw.mit.edu/RES-6-012S18 Instructor: John Tsitsiklis License: Creative ...
MIT OpenCourseWare
Finding Prime numbers - Sieve of Eratosthenes
See complete series on maths problems here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwLL-mEB4ef20f3iqWMGWa25 Sieve of Eratosthenes is a ...
mycodeschool
Machine learning - Importance sampling and MCMC I
Importance sampling and Markov chain Monte Carlo (MCMC). Application to logistic regression. Slides available at: ...
Nando de Freitas
Confidence Intervals vs. Prediction Intervals
What is the difference between Confidence Intervals and Prediction Intervals? And how do you calculate and plot them in your graphs?
Dr. Gerard Verschuuren
Intro to solving differential equations in Julia
On February 6 (10AM PST/1 PM EST/19:00 CET) Chris Rackauckas gave an introductory tutorial on solving differential equations in Julia. This tutorial targets ...
The Julia Programming Language
Modern Time Series Analysis | SciPy 2019 Tutorial | Aileen Nielsen
This tutorial will cover the newest and most successful methods of time series analysis. 1. Bayesian methods for time series 2. Adapting common machine ...
Enthought
Statistics For Data Science & Machine Learning
Statistics is an integral part of Data Science, Data Analytics, Machine Learning & Deep Learning. In this video, I'll list out resources which you should refer to ...
Bhavesh Bhatt
Bootstrap confidence intervals for regression coefficients
Joshua French
Weka Tutorial 06: Discretization (Data Preprocessing)
An important feature of Weka is Discretization where you group your feature values into a defined set of interval values. Experiments showed that algorithms like ...
Rushdi Shams
13. Classification
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: John Guttag ...
MIT OpenCourseWare
Lecture 12 - Backprop & Improving Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)
Take an adapted version of this course as part of the Stanford Artificial Intelligence Professional Program. Learn more at: https://stanford.io/3bhmLce Kian ...
stanfordonline
Calculating Sample Size
Presented by Elias B. Rizk, MD, MS Published as a resource for neurosurgeons by the Neurosurgery Research and Education Foundation (NREF) and the ...
NREF
Computational chemistry in drug discovery
Darren Green, Director of Computational Chemistry at GSK, presents a talk on using computational chemistry approaches for drug discovery. The talk explains ...
European Bioinformatics Institute - EMBL-EBI
Introduction to EEC, Choice of circuits, confidence intervals, AIC
Simple circuits. Choosing the number of elements in a circuit . Fitting data, residual sum squares, Akakike information Criteria.
NPTEL-NOC IITM
Floating Point Representation: Example
Learn via an example how a number in base-10 is represented as floating point number in base-2. Base 10 to Base 2 example for fixed point format talked about ...
numericalmethodsguy
Simple Random Sample Selection in R #Learn_R_inArabic
تعلم برنامج الآر Learn R Simple Random Sample selection using the "sampling" package.
Mahmoud Elkasabi
JuliaCon 2020 | Doing Scientific Machine Learning (SciML) With Julia
Scientific machine learning combines differentiable programming, scientific simulation (differential equations, nonlinear solvers, etc.), and machine learning ...
The Julia Programming Language
Null and Alternate Hypothesis - Statistical Hypothesis Testing - Statistics Course
Get the full course at: http://www.MathTutorDVD.com The student will learn how to write the null and alternate hypothesis as part of a hypothesis test in statistics.
Math and Science
Reference Intervals The Basics
apfcb
Logistic Regression Example in R
Steve L
Inter VLAN Routing ( Using Legacy Method)
LAB 19 CCNA Once you are familiar with VLAN configuration, we are proceeding the next level that is how we can let different VLAN access each other as they ...
Build Your Tech Base
CMPSC/Math 451: March 2, 2015. Fixed point iterations. Wen Shen
Wen Shen, Penn State University. Lectures are based on my book: "An Introduction to Numerical Computation", published by World Scientific, 2016. See promo ...
wenshenpsu
Forensic Anthropology At La Línea: Advances In Computational Methods For Identification
Presented By: Bridget F.B. Algee-Hewitt, PhD Speaker Biography: Bridget FB Algee-Hewitt, PhD, is a broadly trained anthropologist, who studies how biological ...
LabRoots
Advanced optical hematology technology for elevated analytical performance
Presented By: Zainab Mukhatar, MD - Manager, Medical and Scientific Affairs, Abbott Hematology Speaker Biography: Dr. Zainab Mukhtar is working as a Global ...
LabRoots
Linear Regression t test and Confidence Interval
Corrected Version for iPad Viewers at http://www.youtube.com/watch?v=vWgKDhki5Sw&feature=share&list=PLC8478000586FA6F9 I introduce the Linear ...
ProfRobBob
JuliaCon 2019 | Keynote: Professor Madeleine Udell
Madeleine Udell is Assistant Professor of Operations Research and Information Engineering and Richard and Sybil Smith Sesquicentennial Fellow at Cornell ...
The Julia Programming Language
Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Bayes in R | Edureka
Data Science Training - https://www.edureka.co/data-science-r-programming-certification-course ) This Naive Bayes Tutorial video from Edureka will help you ...
edureka!
Data Science - Part XVI - Fourier Analysis
For downloadable versions of these lectures, please go to the following link: http://www.slideshare.net/DerekKane/presentations ...
Derek Kane
Interpolation - Lagrange's interpolation formula in Hindi (Lecture 9)
This video lecture " Interpolation03 - Lagranges interpolation formula in Hindi" will help Engineering and Basic Science students to understand following topic of ...
Bhagwan Singh Vishwakarma
JuliaCon 2019 | Keynote: Dr. Ted Rieger
Ted Rieger received his PhD in Chemical Engineering from Northwestern where he developed models of protein aggregation of Huntington. After graduate ...
The Julia Programming Language
bootstrapped prediction intervals
James Scott
JuliaCon 2019 | If Runtime isn't Funtime: Controlling Compile-time Execution | Nathan Daly
"This block will compile away," the comments say. But will it? In this talk we'll see some scenarios where controlling compile-time vs runtime execution is crucial ...
The Julia Programming Language
Time Series Analysis in Python | Time Series Forecasting | Data Science with Python | Edureka
Python Data Science Training : https://www.edureka.co/data-science-python-certification-course ** This Edureka Video on Time Series Analysis n Python will ...
edureka!
Beat-to-Beat Interval from Wearable Photoplethysmography Sensor - Measurement Sites
Authors: Fatma Patlar Akbulut, Kevin Lawless, Akhilesh Tanneeru, Smriti Rao, Bongmook Lee, Veena Misra Abstract: In this study, we present an algorithm to ...
IEEE Sensors
Lec 12B: Confidence Interval For One Proportion
Lecture with Per B. Brockhoff. Kapitler:
DTUdk
