The chain-linked model or Kline model of innovation was introduced by mechanical engineer Stephen J. Kline in 1985, and further described by Kline and economist Nathan Rosenberg in 1986. The chain-linked model is an attempt to describe complexities in the innovation process. The model is regarded as Kline's most significant contribution. (Wikipedia).
Chain rule for functions of two variables
Free ebook http://tinyurl.com/EngMathYT A example on the mathematics of the chain rule for functions of two variables.
From playlist A second course in university calculus.
Hidden Markov Model Clearly Explained! Part - 5
So far we have discussed Markov Chains. Let's move one step further. Here, I'll explain the Hidden Markov Model with an easy example. I'll also show you the underlying mathematics. #markovchain #datascience #statistics For more videos please subscribe - http://bit.ly/normalizedNERD Mar
From playlist Markov Chains Clearly Explained!
Chain rule + partial derivatives
Download the free PDF http://tinyurl.com/EngMathYT This video shows how to calculate partial derivatives via the chain rule. Such ideas are seen in first year university.
From playlist Several Variable Calculus / Vector Calculus
Chain rule for functions of two variables
Free ebook http://tinyurl.com/EngMathYT A lecture on the mathematics of the chain rule for functions of two variables. Plenty of examples are presented to illustrate the ideas. These concepts are seen at university.
From playlist A second course in university calculus.
Chain rule & partial derivatives
Download the free PDF http://tinyurl.com/EngMathYT This video shows how to calculate partial derivatives via the chain rule. Such ideas are seen in first year university.
From playlist A second course in university calculus.
Chain Rule for Several Variable Functions
How to apply the chain rule for partial deriviatves. An example is discussed. Free ebook tinyurl.com/EngMathYT
From playlist Several Variable Calculus / Vector Calculus
Ring Network - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Vector form of the multivariable chain rule
The multivariable chain rule is more often expressed in terms of the gradient and a vector-valued derivative. This makes it look very analogous to the single-variable chain rule.
From playlist Multivariable calculus
ChatGPT Plugins: Build Your Own in Python!
OpenAI's ChatGPT now has plugins! Creatively named "ChatGPT Plugins", this new feature means plugins can be built by anyone, and in this video, we will see how to build one using the chatgpt-retrieval-plugin template from OpenAI. 🔗 openai/chatgpt-retrieval-plugin Repo: https://github.com/
From playlist ML Projects
Dynamics of non-spherical particles and chains by Samriddhi Sankar Ray
PROGRAM DYNAMICS OF COMPLEX SYSTEMS 2018 ORGANIZERS Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATE: 16 June 2018 to 30 June 2018 VENUE: Ramanujan hall for Summer School held from 16 - 25 June, 2018; Madhava hall for W
From playlist Dynamics of Complex systems 2018
Free ebook http://bookboon.com/en/learn-calculus-2-on-your-mobile-device-ebook How to apply the chain rule to calculate partial derivatives. We apply the idea to show a given function satisfies a partial differential equation. In calculus, the chain rule is a formula for computing the der
From playlist A second course in university calculus.
(ML 14.2) Markov chains (discrete-time) (part 1)
Definition of a (discrete-time) Markov chain, and two simple examples (random walk on the integers, and a oversimplified weather model). Examples of generalizations to continuous-time and/or continuous-space. Motivation for the hidden Markov model.
From playlist Machine Learning
GPT 4: Superpower results with search
GPT-4 is pretty incredible, but like its predecessors, it has problems. Hallucinations and the lack of up-to-date information are typical of Large Language Models (LLMs), from PaLM and LLaMa, to ChatGPT (gpt-3.5-turbo) and GPT 4. In this video, we'll demonstrate how to supercharge GPT4 (a
From playlist ML Projects
Trusted CI Webinar: SmartProvenance: A Distributed, Blockchain Based Data Provenance
Originally recorded February 26, 2018 Slides: http://hdl.handle.net/2142/99078 Blockchain technology has evolved from being an immutable ledger of transactions for cryptocurrencies to a programmable interactive environment for building distributed reliable applications. Although the bloc
From playlist Center for Applied Cybersecurity Research (CACR)
Phiala Shanahan: "Machine learning for lattice field theory"
Machine Learning for Physics and the Physics of Learning 2019 Workshop I: From Passive to Active: Generative and Reinforcement Learning with Physics "Machine learning for lattice field theory" Phiala Shanahan, Massachusetts Institute of Technology (MIT) Abstract: I will discuss opportuni
From playlist Machine Learning for Physics and the Physics of Learning 2019
Topological methods for characterizing the relationship between polymer entang... - Eleni Panagiotou
Workshop on Topology: Identifying Order in Complex Systems Topic: Topological methods for characterizing the relationship between polymer entanglement and viscoelasticity Speaker: Eleni Panagiotou Affiliation: University of Tennessee, Chattanooga Date: November 20, 2020 For more video pl
From playlist Mathematics
Lecture 21: HP Model & Interlocked Chains
MIT 6.849 Geometric Folding Algorithms: Linkages, Origami, Polyhedra, Fall 2012 View the complete course: http://ocw.mit.edu/6-849F12 Instructor: Erik Demaine This lecture presents the hydrophobicity (HP) model for protein folding and optimization using parity cases. Interlocked 3D chains
From playlist MIT 6.849 Geometric Folding Algorithms, Fall 2012
Macropscopic degeneracy and fragmentation in the XY model on the kagome lattice by Alexei Andreanov
Program The 2nd Asia Pacific Workshop on Quantum Magnetism ORGANIZERS: Subhro Bhattacharjee, Gang Chen, Zenji Hiroi, Ying-Jer Kao, SungBin Lee, Arnab Sen and Nic Shannon DATE: 29 November 2018 to 07 December 2018 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Frustrated quantum magne
From playlist The 2nd Asia Pacific Workshop on Quantum Magnetism
Markov Chains Clearly Explained! Part - 1
Let's understand Markov chains and its properties with an easy example. I've also discussed the equilibrium state in great detail. #markovchain #datascience #statistics For more videos please subscribe - http://bit.ly/normalizedNERD Markov Chain series - https://www.youtube.com/playl
From playlist Markov Chains Clearly Explained!
Characterizing force-chain network architecture in granular materials - Danielle Bassett
Danielle Bassett University of Pennsylvania April 18, 2015 Force chains form heterogeneous physical structures that can constrain the mechanical stability and acoustic transmission of granular media. However, despite their relevance for predicting bulk properties of materials, there is no
From playlist Mathematics