PPT-Unit-II Learning Algorithms

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Course Outcome Perform the training of neural networks using various learning rules Note The material to prepare this Presentation and Notes has been taken from

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Unit-II Learning Algorithms: Transcript

Course Outcome Perform the training of neural networks using various learning rules Note The material to prepare this Presentation and Notes has been taken from internet books and are generated only for students reference and. Lecture 18. The basics of graphs.. 8/25/2009. 1. ALG0183 Algorithms & Data Structures by Dr Andy Brooks. Watch out for self-loops in graphs.. 8/25/2009. ALG0183 Algorithms & Data Structures by Dr Andy Brooks. 1. Graph Algorithms. Many problems are naturally represented as graphs. Networks, Maps, Possible paths, Resource Flow, etc.. Ch. 3 focuses on algorithms to find connectivity in graphs. Ch. 4 focuses on algorithms to find paths within graphs. Optimization problems, Greedy Algorithms, Optimal Substructure and Greedy choice. Learning & Development Team. http://academy.telerik.com. . Telerik Software Academy. Table of Contents. Optimization Problems. Lars . Arge. Spring . 2012. February . 27, 2012. Lars Arge. I/O-algorithms. 2. Random Access Machine Model. Standard theoretical model of computation:. Infinite memory. Uniform access cost. R . A. M. Annie . Yang and Martin Burtscher*. Department of Computer Science. Highlights. MPC compression algorithm. Brand-new . lossless . compression algorithm for single- and double-precision floating-point data. Raman Veerappan. EPS 109 Final Project. Introduction. Goals. To examine various maze solving algorithms using MATLAB determine which algorithms are most effective for which mazes. Two main algorithms examined. scikit. -learn. http://scikit-learn.org/stable/. scikit. -learn. Machine Learning in Python. Simple . and efficient tools for data mining and data analysis. Built . on . NumPy. , . SciPy. , and . matplotlib. Algorithm. Input. Output. 1. Analysis of Algorithms. How long does this take to open 1) know 2) don’t know. . Analysis of Algorithms. 2. If know combination O(n) . where n is number of rings. . If the alphabet is size m, O(nm). Problem - a well defined task.. Sort a list of numbers.. Find a particular item in a list.. Find a winning chess move.. Algorithms. A series of precise steps, known to stop eventually, that solve a problem.. 1. Decrease-and-Conquer. Reduce . original problem . instance to . smaller . instance . of the same problem. Solve smaller . instance. Extend solution . of smaller . instance . to obtain solution to original instance. An Overview of Machine Learning Speaker: Yi-Fan Chang Adviser: Prof. J. J. Ding Date : 2011/10/21 What is machine learning ? Learning system model Training and testing Performance Algorithms Machine learning The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand

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