A Theory of Cryptographic Complexity - Manoj M. Prabhakaran
Manoj M. Prabhakaran University of Illinois at Urbana-Champaign March 1, 2010 In this talk, I shall describe an ongoing project to develop a complexity theory for cryptographic (multi-party computations. Different kinds of cryptographic computations involve different constraints on how in
From playlist Mathematics
Results and open problems in theory of quantum complexity - Anindya De
Andris Ambainis University of Latvia; Member, School of Mathematics April 22, 2014 I will survey recent results and open problems in several areas of quantum complexity theory, with emphasis on open problems which can be phrased in terms of classical complexity theory or mathematics but ha
From playlist Mathematics
Welcome to part one of computer science terminology, where we take a dive into understanding some of the terms used in computer science and software development. We've started with the basics and will continue to get more complex as this series progresses. --------------------------------
From playlist Computer Science
SketchySVD - Joel Tropp, California Institute of Technology
This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai
From playlist Mathematics of data: Structured representations for sensing, approximation and learning
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 Computers
Programming with Math (Exploring Type Theory)
As programs are getting more complex, it's time to go back to basics, to the old well tested approach to complexity called mathematics. Let compilers deal with the intricacies of Turing machines. Our strength is abstract thinking. Let's use it! EVENT: Øredev 2018 SPEAKER: Bartosz Milew
From playlist Software Development
Intro to Number Theory and The Divisibility Relation
This video introduces the divisibility relation and provided several examples. mathispower4u.com
From playlist Additional Topics: Generating Functions and Intro to Number Theory (Discrete Math)
An Introduction to Data Structures
Hello everyone and welcome to an Introduction to Data Structures. In this lecture-style course, I’ll be taking through the topic of Data Structures in relation to Computer Science. We’ll go over what Data Structures are, how we measure a Data Structures efficiency, and then hop into talkin
From playlist Software Development
Lec 8 | MIT 6.00SC Introduction to Computer Science and Programming, Spring 2011
Lecture 8: Efficiency and Order of Growth Instructor: John Guttag View the complete course: http://ocw.mit.edu/6-00SCS11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.00SC Introduction to Computer Science and Programming
Complexity and hyperoperations | Data Structures Math Foundations 174
We introduce the idea of the complexity of a natural number: a measure of how hard it is to actually write down an arithmetical expression that evaluates to that number. This notion does depend on a prior choice of arithmetical symbols that we decide upon, but the general features are surp
From playlist Math Foundations
Lecture 1A: Overview and Introduction to Lisp
MIT 6.001 Structure and Interpretation of Computer Programs, Spring 2005 Instructor: Harold Abelson, Gerald Jay Sussman, Julie Sussman View the complete course: https://ocw.mit.edu/6-001S05 YouTube Playlist: https://www.youtube.com/playlist?list=PLE18841CABEA24090 Overview and Introductio
From playlist MIT 6.001 Structure and Interpretation, 1986
Big O: How Code Slows as Data Grows
Big O notation is a computer science technique for analyzing how code performs as data gets larger. It's a very handy tool for the working programmer, but it's often shrouded in off-putting mathematics. In this talk, I'll teach you what you need to know about Big-O, and how to use it to
From playlist Talks
Free CISSP Training Videos | CISSP Tutorial Online Part 3
🔥Advanced Executive Program In Cybersecurity: https://www.simplilearn.com/pgp-advanced-executive-program-in-cyber-security?utm_campaign=CISSP-4u04FcVYD2c&utm_medium=Descriptionff&utm_source=youtube 🔥Caltech Cybersecurity Bootcamp(US Only): https://www.simplilearn.com/cybersecurity-bootcamp
From playlist CISSP Training Videos [2022 Updated]
Topic Modeling with SVD & NMF (NLP video 2)
In order to organize posts (from the newsgroups data set) by topic, we learn about 2 different matrix decompositions: singular value decomposition (SVD) and non-negative matrix factorization (NMF). Along the way, we learn about stop words, stemming, & lemmatization. Jupyter notebook: htt
From playlist fast.ai Code-First Intro to Natural Language Processing
Homological Algebra(Homo Alg 1) by Graham Ellis
DATE & TIME 05 November 2016 to 14 November 2016 VENUE Ramanujan Lecture Hall, ICTS Bangalore Computational techniques are of great help in dealing with substantial, otherwise intractable examples, possibly leading to further structural insights and the detection of patterns in many abstra
From playlist Group Theory and Computational Methods
1A. Intro 1: Computational Side of Computational Biology. Statistics; Perl, Mathematica
MIT HST.508 Genomics and Computational Biology, Fall 2002 Instructor: George Church View the complete course: https://ocw.mit.edu/courses/hst-508-genomics-and-computational-biology-fall-2002/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61gaHWysmlYNeGsuUI8y5GV First
From playlist HST.508 Genomics and Computational Biology, Fall 2002
Results and open problems in theory of quantum complexity - Andris Ambainis
Andris Ambainis University of Latvia; Member, School of Mathematics April 22, 2014 I will survey recent results and open problems in several areas of quantum complexity theory, with emphasis on open problems which can be phrased in terms of classical complexity theory or mathematics but ha
From playlist Mathematics
RailsConf 2022 - Computer science you might (not) want to know by Andy Andrea
One common recommendation for aspiring software developers is to pursue a degree in Computer Science (CS). While CS curricula do often cover practical software development skills, many departments heavily prioritize more academic and theoretical topics. This begs the question: how relevant
From playlist RailsConf 2022
Computer Science Basics: Programming Languages
We use computers every day, but how often do we stop and think, “How do they do what they do?” This video series explains some of the core concepts behind computer science. To view the entire playlist, visit https://www.youtube.com/playlist?list=PLpQQipWcxwt-Q9izCl0mm-QZ4seuBdUtr. We hop
From playlist Computer Science Basics
Mathematica and Scientific Visualization
Wolfram Language developers demonstrate the latest calculus functionality and algebraic computation and show our built-in support for easily visualizing complex-valued data and functions, stunning maps with new classes of geo visualizations and new molecular structure visualization. This i
From playlist New in Wolfram Language 12 Webinar Series