Combinatorics on words | String (computer science)
In computer science and the study of combinatorics on words, a partial word is a string that may contain a number of "do not know" or "do not care" symbols i.e. placeholders in the string where the symbol value is not known or not specified. More formally, a partial word is a partial function where is some finite alphabet. If u(k) is not defined for some then the unknown element at place k in the string is called a "hole". In regular expressions (following the POSIX standard) a hole is represented by the metacharacter ".". For example, aab.ab.b is a partial word of length 8 over the alphabet A ={a,b} in which the fourth and seventh characters are holes. (Wikipedia).
Ever wondered what a partial sum is? The simple answer is that a partial sum is actually just the sum of part of a sequence. You can find a partial sum for both finite sequences and infinite sequences. When we talk about the sum of a finite sequence in general, we’re talking about the sum
From playlist Popular Questions
Partial fractions + integration
Free ebook http://tinyurl.com/EngMathYT An example on how to integrate using partial fractions.
From playlist A second course in university calculus.
Integration + partial fractions
Free ebook http://tinyurl.com/EngMathYT An example on how to integrate using partial fractions.
From playlist A second course in university calculus.
Integration & partial fractions
Free ebook http://tinyurl.com/EngMathYT An example of how to integrate using partial fractions (with repeated factors).
From playlist A second course in university calculus.
Integration by partial fractions
Free ebook http://tinyurl.com/EngMathYT Example of how to integrate using partial fractions.
From playlist A second course in university calculus.
Free ebook http://tinyurl.com/EngMathYT An example on how to integrate quickly using partial fractions.
From playlist A second course in university calculus.
What is a Partial Derivative ?
From playlist Partial Derivatives
Multivariable Calculus | Definition of partial derivatives.
We give the definition of the partial derivative of a function of more than one variable. In addition, we present some examples. http://www.michael-penn.net http://www.randolphcollege.edu/mathematics/
From playlist Multivariable Calculus
Introduction to Partial Sums and Partial Products
This video lesson introduces partial sums and partial products. mathispower4u.com
From playlist Sequences (Discrete Math)
Part III: Partial Derivatives, Lec 6 | MIT Calculus Revisited: Multivariable Calculus
Part III: Partial Derivatives, Lecture 6: Exact Differentials Instructor: Herbert Gross View the complete course: http://ocw.mit.edu/RES18-007F11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT Calculus Revisited: Multivariable Calculus
Part IV: Matrix Algebra, Lec 5 | MIT Calculus Revisited: Multivariable Calculus
Part IV: Matrix Algebra, Lecture 5: Maxima and Minima in Several Variables Instructor: Herbert Gross View the complete course: http://ocw.mit.edu/RES18-007F11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT Calculus Revisited: Multivariable Calculus
Part III: Partial Derivatives, Lec 4 | MIT Calculus Revisited: Multivariable Calculus
Part III: Partial Derivatives, Lecture 4: The Chain Rule Instructor: Herbert Gross View the complete course: http://ocw.mit.edu/RES18-007F11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT Calculus Revisited: Multivariable Calculus
Review Session: Midterm Review
This midterm review session covers work vectors representations, neural networks and RNNs. Also reviewed is backpropagation, gradient calculation and dependency parsing. ------------------------------------------------------------------------------- Natural Language Processing with Deep
From playlist Lecture Collection | Natural Language Processing with Deep Learning (Winter 2017)
Part III: Partial Derivatives, Lec 2 | MIT Calculus Revisited: Multivariable Calculus
Part III: Partial Derivatives, Lecture 2: Calculus of Several Variables Instructor: Herbert Gross View the complete course: http://ocw.mit.edu/RES18-007F11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT Calculus Revisited: Multivariable Calculus
Part IV: Matrix Algebra, Lec 4 | MIT Calculus Revisited: Multivariable Calculus
Part IV: Matrix Algebra, Lecture 4: Inverting More General Systems of Equations Instructor: Herbert Gross View the complete course: http://ocw.mit.edu/RES18-007F11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT Calculus Revisited: Multivariable Calculus
Multivariable Calculus | Gradient, Curl, and Divergence
We present the notions of gradient, curl, and divergence in the three dimensional setting. http://www.michael-penn.net https://www.researchgate.net/profile/Michael_Penn5 http://www.randolphcollege.edu/mathematics/
From playlist Multivariable Calculus
Mod-07 Lec-30 The Jaina Philosophy - II
Indian Philosophy by Dr. Satya Sundar Sethy, Department of Humanities and Social Sciences, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
From playlist IIT Madras: Introduction to Indian Philosophy | CosmoLearning.org Philosophy
Differential Forms | Properties of the exterior derivative.
We present some important properties of the exterior derivative, including the fact that it squares to zero. Please Subscribe: https://www.youtube.com/michaelpennmath?sub_confirmation=1 Merch: https://teespring.com/stores/michael-penn-math Personal Website: http://www.michael-penn.net Ra
From playlist Differential Forms
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 4 – Backpropagation
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3qAoAeO Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial
From playlist Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019
Partial Sums (1 of 2: Adding up terms in an arithmetic progression)
More resources available at www.misterwootube.com
From playlist Modelling Financial Situations