LSU CSC 7333
Machine Learning
Course Description
Raw: Fundamental principles of machine learning; inductive learning; explanation-based learning; c
Stemmed: fundament principl machin learn induct learn explan base learn comput approach boolean function lear
Inferred Topics
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30
(0.63391) learn, decis, network, model, algorithm, topic, method, probabilist, neural, approach
(0.947) RPI CSCI 4100 Machine and Computational Learning
(0.925) RPI CSCI 6100 Machine and Computational Learning
(0.803) SC CSCE 582 Bayesian Networks and Decision Graphs
(0.757) KSU CIS 732 Machine Learning and Pattern Recognition
(0.639) UTK COSC 425 Introduction to Machine Learning
(0.634) LSU CSC 7333 Machine Learning
(0.522) Stanford CS 373 Statistical and Machine Learning Methods for Genomics (BIO 268, BIOMEDIN 245, GENE 245, STATS 345)
(0.496) GMU CS 688 Pattern Recognition
(0.491) ACM EC 0 Artificial Intelligence Programming
(0.443) Utah CS 5350 Machine Learning
(0.412) Utah CS 6760 Modeling and Analysis of Biological Networks
(0.409) PDX CS 480 Randomized Algorithms and Probabilistic Analysis
(0.409) PDX CS 580 Randomized Algorithms and Probabilistic Analysis
(0.353) UTK COSC 420 Biologically-Inspired Computation
(0.345) Stanford CS 323 Automated Reasoning: Theory and Applications
(0.320) ACM EC 0 Introduction to Artificial Intelligence
(0.311) GMU AIT 631 Advanced Decision Making in IT Ventures
(0.310) GMU CS 775 Advanced Pattern Recognition
(0.287) GMU AIT 500 Quantitative Foundations for Information Systems Analysis
(0.273) Utah CS 5740 Computer-Aided Design of Digital Circuits
(0.272) LSU CSC 1240 Statistics and Graphics with MATLAB
(0.247) GMU CS 787 Decision Guidance Systems
(0.243) LSU CSC 4512 Optimization: Modeling Approaches, Algorithms and Applications
(0.239) Stanford CS 109 Statistical Computing with R Laboratory
(0.217) GMU CS 774 Computational Vision
(0.207) AU CSC 589 Topics in Computer Science
(0.175) KSU CIS 530 Introduction to Artificial Intelligence
(0.165) PDX CS 573 Computer Communications
(0.158) PDX CS 549 Computational Geometry
(0.156) LSU CSC 1200 Ethics in Computing
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36
(0.176643) logic, mathemat, theori, proof, set, introduct, algorithm, discret, formal, relat
(0.937) UTK COSC 311 Discrete Structures
(0.934) Utah CS 2100 Discrete Structures
(0.787) LSU CSC 2259 Discrete Structures
(0.739) PDX CS 250 Discrete Structures I
(0.726) PDX CS 251 Discrete Structures II
(0.673) KSU CIS 604 Set Theory and Logic for CS
(0.668) PDX CS 510 Top: Mathematical Logic via Foundational Algorithms
(0.659) PDX CS 579 Formal Verification of Hardware/Software
(0.588) PDX CS 410 Top: Mathematical Logic via Foundational Algorithms
(0.565) AU CSC 350 Introduction to Discrete Structures
(0.510) Stanford CS 103 Mathematical Foundations of Computing
(0.439) SC CSCE 146 Algorithmic Design II
(0.426) SC CSCE 211 Digital Logic Design
(0.409) ACM EC 0 Discrete Structures I
(0.393) GMU CS 530 Mathematical Foundations of Computer Science
(0.354) ACM EC 0 Discrete Structures II
(0.328) KSU CIS 301 Logical Foundations of Programming
(0.320) ACM EC 0 Discrete Mathematics
(0.313) ACM KA 0 Discrete Structures (DS)
(0.306) LSU CSC 7375 Robot Vision
(0.296) RPI CSCI 2200 Foundations of Computer Science
(0.295) KSU CIS 771 Software Specification
(0.265) AU CSC 460 Tools of Scientific Computing
(0.249) ACM EC 0 Mathematical Foundations of Computer Science
(0.241) Utah CS 6110 Formal Methods for System Design
(0.225) UTK COSC 483 Applied Cryptography
(0.224) GMU CS 600 Theory of Computation
(0.213) PDX CS 578 Program Language Semantics
(0.184) UTK COSC 312 Algorithm Analysis and Automata
(0.177) LSU CSC 7333 Machine Learning
(0.173) GMU CS 330 Formal Methods and Models
(0.173) KSU CIS 570 Introduction to Formal Language Theory
(0.165) KSU CIS 575 Introduction to Algorithm Analysis
(0.163) Utah CS 3100 Models of Computation
(0.162) ACM EC 0 Functional Programming
(0.152) Stanford CS 109 Introduction to Probability for Computer Scientists
No prerequisites registered.