What are the key points to trigonometric graphs
👉 Learn the basics of graphing trigonometric functions. The graphs of trigonometric functions are cyclical graphs which repeats itself for every period. To graph the parent graph of a trigonometric function, we first identify the critical points which includes: the x-intercepts, the maximu
From playlist How to Graph Trigonometric Functions
Important parts of a trigonometric function
👉 Learn the basics of graphing trigonometric functions. The graphs of trigonometric functions are cyclical graphs which repeats itself for every period. To graph the parent graph of a trigonometric function, we first identify the critical points which includes: the x-intercepts, the maximu
From playlist How to Graph Trigonometric Functions
What are the important things to know about the graph of a function
👉 Learn about the characteristics of a function. Given a function, we can determine the characteristics of the function's graph. We can determine the end behavior of the graph of the function (rises or falls left and rises or falls right). We can determine the number of zeros of the functi
From playlist Characteristics of Functions
What is the amplitude of a trigonometric graph
👉 Learn the basics of graphing trigonometric functions. The graphs of trigonometric functions are cyclical graphs which repeats itself for every period. To graph the parent graph of a trigonometric function, we first identify the critical points which includes: the x-intercepts, the maximu
From playlist How to Graph Trigonometric Functions
Network Analysis. Lecture 9. Graph partitioning algorithms
Graph density. Graph pertitioning. Min cut, ratio cut, normalized and quotient cuts metrics. Spectral graph partitioning (normalized cut). Direct (spectral) modularity maximization. Multilevel recursive partitioning Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/le
From playlist Structural Analysis and Visualization of Networks.
Network Analysis. Lecture 6. Link Analysis
Directed graphs. PageRank, Perron-Frobenius theorem and algorithm convergence. Power iterations. Hubs and Authorites. HITS algorithm. Lecture slides: http://www.leonidzhukov.net/hse/2015/networks/lectures/lecture6.pdf
From playlist Structural Analysis and Visualization of Networks.
Absolute or relative minimum of graph?
👉 Learn about the characteristics of a function. Given a function, we can determine the characteristics of the function's graph. We can determine the end behavior of the graph of the function (rises or falls left and rises or falls right). We can determine the number of zeros of the functi
From playlist Characteristics of Functions
Laurent Massoulié : Non-backtracking spectrum of random graphs: community detection and ...
Abstract: A non-backtracking walk on a graph is a directed path such that no edge is the inverse of its preceding edge. The non-backtracking matrix of a graph is indexed by its directed edges and can be used to count non-backtracking walks of a given length. It has been used recently in th
From playlist Combinatorics
Stanford Seminar - Graph Analysis of Russian Twitter Trolls Using Neo4j
EE380: Computer Systems Colloquium Seminar Graph Analysis of Russian Twitter Trolls Using Neo4j Speaker: William Lyon, Neo4j As part of the US House Intelligence Committee investigation into how Russia may have influenced the 2016 US election, Twitter released the screen names of nearly 3
From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series
How to quickly find the asymptotes of any trigonometric function
👉 Learn the basics of graphing trigonometric functions. The graphs of trigonometric functions are cyclical graphs which repeats itself for every period. To graph the parent graph of a trigonometric function, we first identify the critical points which includes: the x-intercepts, the maximu
From playlist How to Graph Trigonometric Functions
Best of Velocity 2012: The sFlow Standard
This exclusive Velocity 2012 conference re-broadcast presented by Dave Mangot and Peter Phaal will have broad appeal with good background on the technology for beginners and offer a very high degree of familiarity for experts running such applications at scale. If you've played with Gangli
From playlist O'Reilly Webcasts 2
27c3: Code deobfuscation by optimization (en)
Speaker: Branko Spasojevic Optimization algorithms present an effective way for removing most obfuscations that are used today. Much of the compiler theory can be applied in removing obfuscations and building fast and reliable deobfuscation systems. By understanding traditional optimizati
From playlist 27C3: We come in peace
Erin Chambers (2/5/19): Computing optimal homotopies
Abstract: The question of how to measure similarity between curves in various settings has received much attention recently, motivated by applications in GIS data analysis, medical imaging, and computer graphics. Geometric measures such as Hausdorff and Fr\'echet distance have efficient al
From playlist AATRN 2019
Forbidden Patterns in Tropical Planar Curves by Ayush Kumar Tewari
PROGRAM COMBINATORIAL ALGEBRAIC GEOMETRY: TROPICAL AND REAL (HYBRID) ORGANIZERS Arvind Ayyer (IISc, India), Madhusudan Manjunath (IITB, India) and Pranav Pandit (ICTS-TIFR, India) DATE & TIME 27 June 2022 to 08 July 2022 VENUE Madhava Lecture Hall and Online Algebraic geometry is the stu
From playlist Combinatorial Algebraic Geometry: Tropical and Real (HYBRID)
Phase shifts of trigonometric functions
👉 Learn the basics of graphing trigonometric functions. The graphs of trigonometric functions are cyclical graphs which repeats itself for every period. To graph the parent graph of a trigonometric function, we first identify the critical points which includes: the x-intercepts, the maximu
From playlist How to Graph Trigonometric Functions
Python Charting Stocks/Forex for Technical Analysis Part 10 - Price and Volume Chart Matplotlib
This is the tenth video in the series for stock price analysis, finishing the addition of volume data to our stock price chart. The purpose of the videos in this series is to teach you how to program your own charting and analysis of stocks or Forex. This is beneficial for you if you pla
From playlist Customizing Matplotlib Graphs and Charts
Wei Zhu: "LDMnet: low dimensional manifold regularized neural networks"
New Deep Learning Techniques 2018 "LDMnet: low dimensional manifold regularized neural networks" Wei Zhu, Duke University, Mathematics Abstract: Deep neural networks have proved very successful on archetypal tasks for which large training sets are available, but when the training data ar
From playlist New Deep Learning Techniques 2018
DEFCON 18: How to Apply Reverse Engineering Techniques to Cheat at Video Games 1/3
Speakers: Elie Bursztein, Jocelyn Lagarenne, Dan Boneh While we were slaving away hacking an awesome memory analysis tool, Kartograph, our lazy graduate student friends next door were busy honing their skills in CIV 4, Age of Empire III, Anno, C&C, and WarCraft III. They did not anti
From playlist DEFCON 18-3
Ex 1: Determine if the Graph of a Relation is a One-to-One Function
Graph descriptions: Graph 1 is a u-shaped graph opening up. It is the graph of y equals x squared minus 2. Graph 2 is the graph of y equals x cubed. It increases over its entire domain. Graph 3 is a u-shaped graph that opens to the right. It is the graph of x equals y squared minus
From playlist Determining Inverse Functions
Restricted Boltzmann Machines: Stastical Physics and applications... by Simona Cocco
DISCUSSION MEETING : STATISTICAL PHYSICS OF MACHINE LEARNING ORGANIZERS : Chandan Dasgupta, Abhishek Dhar and Satya Majumdar DATE : 06 January 2020 to 10 January 2020 VENUE : Madhava Lecture Hall, ICTS Bangalore Machine learning techniques, especially “deep learning” using multilayer n
From playlist Statistical Physics of Machine Learning 2020