Regression and curve fitting software
GLIM (an acronym for Generalized Linear Interactive Modelling) is a statistical software program for fitting generalized linear models (GLMs). It was developed by the Royal Statistical Society's Working Party on Statistical Computing(later renamed the GLIM Working Party),chaired initially by John Nelder.It was first released in 1974with the last major release, GLIM4, in 1993.GLIM was distributed by the Numerical Algorithms Group (NAG). GLIM was notable for being the first package capable of fitting a wide range of generalized linear models in a unified framework, and for encouraging an interactive, iterative approach to statistical modelling.GLIM used a command-line interface and allowed users to define their own macros. Many articles in academic journals were written about the use of GLIM. GLIM was reviewed in The American Statistician in 1994, along with other software for fitting generalized linear models. The GLIMPSE system was later developed to provide a knowledge based front-end for GLIM. GLIM is no longer actively developed or distributed. (Wikipedia).
Overview of GLSL, the OpenGL Shading Language
This is more of a presentation than a real tutorial, that should help you learn coding in GLSL, assuming you already know how programming works in general. This video is intended for users of Shadron, but it describes GLSL in general, so OpenGL programmers may find it useful as well. If y
From playlist OpenGL
WebGL: Up and Running, Building 3D Graphics for the Web
Author Tony Parisi talks about his book WebGL: Up and Running http://oreilly.com/go/web-gl
From playlist Book Promos
Open Source vs. Closed Source Software
In this video, you’ll learn more about the differences between open-source software and closed-source software. Visit https://edu.gcfglobal.org/en/basic-computer-skills/ for more technology, software, and computer tips. We hope you enjoy!
From playlist Technology Trends
Data Science @Stanford Trevor Hastie 10/21/2015
Trevor Hastie, The John A. Overdeck Professor of Mathematical Sciences, Professor of Statistics and Biomedical Data Science, shares his insights on using statistical learning with Big Data.
From playlist Data Science @ Stanford
3D Game Maker (C++ and OpenGL)
This is something I have been working on as a hobby for several months. It's my game engine I have been programming from scratch. I have a lot more I would like to add but here is what I have so far.
From playlist 3D Programming
Future of Cybersecurity | Cyber Security Career | Cybersecurity Training | Edureka
🔥Edureka Cyber Security Course: https://www.edureka.co/cybersecurity-certification-training 🔵 Edureka Cyber Security Masters Program: https://bit.ly/3pfHHIN This Edureka video on "Future of Cybersecurity" will help you understand why and what is Cyber Security, followed by its history, &
From playlist Cyber Security Training for Beginners | Edureka
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 Machine Learning
Statistical Learning: 10.R.1 Neural Networks in R and the MNIST data
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Predictive Modelling Techniques | Data Science With R Tutorial
🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=PredictiveModeling-0gf5iLTbiQM&utm_medium=Descriptionff&utm_source=youtube 🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/data-science-bo
From playlist R Programming For Beginners [2022 Updated]
Sebastian Noelle: Systems of conservation laws
Programme for the Abel Lectures 2005: 1. "Abstract Phragmen-Lindelöf theorem & Saint Venant’s principle" by Abel Laureate 2005 Peter D. Lax, New York University 2. "Systems of conservation laws" by Professor Sebastian Noelle, CMA Oslo/ RWTH Aachen 3. "Hyperbolic equations and spectral g
From playlist Abel Lectures
O'Reilly Webcast: Executing for Every Screen- A New Philosophy of Implementation
There are many ways that multi-platform development processes can miserably fail users and the business when trying to launch your project. Massive changes, blame, and missed opportunities are the usual results. The answer is to create a new philosophy of implementation that avoids pitfal
From playlist O'Reilly Webcasts 2
Workshop 1 "Operator Algebras and Quantum Information Theory" - CEB T3 2017 - E.Effros
Edward Effros (UC Los Angeles) / 13.09.17 Title: Some remarkable gems and persistent difficulties in quantized functional analysis (QFA) Abstract: QFA was a direct outgrowth of the Heisenberg and von Neumann notions of quantized random variables. Thus, one replaces n-tuples of reals by c
From playlist 2017 - T3 - Analysis in Quantum Information Theory - CEB Trimester
A review of the notes common to all formations of a G chord.
From playlist Music Lessons
ggplot: A Grammar of Graphics for the Wolfram Language
This presentation features Andrew Yule discussing a new open-source project called ggplot that aims to create a Wolfram Language package giving similar functionality to R's ggplot. The background on ggplot is presented, along with the current status of the Wolfram Language package and futu
From playlist Wolfram Technology Conference 2020
Chapter 4 - Solving Linear Equations with Technology - IB Math Studies (Math SL)
Hello and welcome to What The Math. This is a Chapter 4 video about linear equations and using GDC to solve various linear functions. This is a part of Chapter 4 from Harris Publication version of IB math book by Haese.
From playlist IB Math Studies Chapter 4
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 Microsoft Excel
IU PTI Workshop: IBM High Performance Computing with NVIDIA
Presented January 26, 2017. Dramatic shifts in the information technology industry offer new kinds of performance capabilities and throughput. Professionals in HPC, Deep Learning, Big Data Analytics and Life Sciences learned more about industry trends & directions and IT solutions from NV
From playlist Seminars/Workshops
Introduction to Chemical Engineering | Lecture 6
The head TA for Introduction to Chemical Engineering (E20) fills in for Professor Channing Robertson and gives an overview of the apheresis machine. Introduction to Chemical Engineering (E20) is an introductory course offered by the Stanford University Engineering Department. It provid
From playlist Lecture Collection | Introduction to Chemical Engineering
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 Photoshop