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swapna.c
machine learning
analysis and design of algorithms
daa
ada
design and analysis of algorithms
omega
theata
big o
asymptotic notations
tech teachings
space complexity
time complexity
performance analyis
design and analysis of algorihms
comparision of algorithms
design goals
clssification
complexity
comparison of program and algorithm
pseudo code conventions
properties
characteristics
introduction
inductive analytical approaches to learning
kbann
using prior knowledge to initialize the hypothesis
combining inductive and analytical learning
analytical learning
learning set of rules
learning rule of first order rules
genetic algorithms
unit 4
instance based learning
computational learning theory
multilayer & back propagation algorithm
artificial neural networks
evaluating hypothesis
advanced topics in artificial neural networks
designing a learning system
introdcution
inductive bias
candidate elimination algorithm
concept learning

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## Presentations

(22)Tags

swapna.c
machine learning
analysis and design of algorithms
daa
ada
design and analysis of algorithms
omega
theata
big o
asymptotic notations
tech teachings
space complexity
time complexity
performance analyis
design and analysis of algorihms
comparision of algorithms
design goals
clssification
complexity
comparison of program and algorithm
pseudo code conventions
properties
characteristics
introduction
inductive analytical approaches to learning
kbann
using prior knowledge to initialize the hypothesis
combining inductive and analytical learning
analytical learning
learning set of rules
learning rule of first order rules
genetic algorithms
unit 4
instance based learning
computational learning theory
multilayer & back propagation algorithm
artificial neural networks
evaluating hypothesis
advanced topics in artificial neural networks
designing a learning system
introdcution
inductive bias
candidate elimination algorithm
concept learning

See more