Personal Information
Organização/Local de trabalho
Ajmer Area, India, ajmer region India
Cargo
Assistant Professor
Setor
Education
Sobre
This is Aakanksha Jain, an assistant professor at Poornima University.
Technical Skills:IMAGE PROCESSING,BIG DATA,MACHINE LEARNING ,JAVA
TOOLS: WEKA, MATLAB
Marcadores
java
oops
architecture of distributed database processing s
data communication concept
concurrency control and recovery
distributed database design
cost complexity pruning
overfitting
reduction in variance
entropy
information gain
gini index
gini impurity
decision tree
random forest
machine learning
forward feature elemination
backward feature elemination
curse of dimensionality
dimension reduction
feature extraction
feature selection
inheritance
2-d array
1-d array
array
probability
discrete mathematics
data warehousing who need data warehousing archite
transaction management serializability blocking d
lock protocol
timpstamp protocolo
tp rate
fp rate
precision
jrip
part
ridor
malicious code
detection of malicious executables
association tables
thining
bifrucation
ridge count
fingerprint matching
histogram matching (specification
histogram equalization
piecewise-linear transformation functions
power-law transformation
log transformations
image negatives
basic gray level transformations
histogram processing.
image subtraction
enhancement using arithmetic/logic operations
image averaging
smapling and quantization
image formation model
visual perception
image sensing and aquasition
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Apresentações
(13)Gostaram
(32)Random forest and decision tree
AAKANKSHA JAIN
•
Há 2 anos
Dimension reduction techniques[Feature Selection]
AAKANKSHA JAIN
•
Há 2 anos
Probability
AAKANKSHA JAIN
•
Há 4 anos
Introduction to trigonometry
Gayathri Gaya
•
Há 10 anos
Distributed Database Management System
AAKANKSHA JAIN
•
Há 5 anos
WEKA Tutorial
butest
•
Há 14 anos
What is Big Data?
Bernard Marr
•
Há 10 anos
Enhancement in spatial domain
Ashish Kumar
•
Há 11 anos
Image compression
Ale Johnsan
•
Há 10 anos
Presentation on Android operating system
Salma Begum
•
Há 9 anos
Perceptron
Nagarajan
•
Há 13 anos
Big data ppt
Nasrin Hussain
•
Há 10 anos
What is big data?
David Wellman
•
Há 10 anos
Advance image processing
AAKANKSHA JAIN
•
Há 6 anos
Big data unit i
Navjot Kaur
•
Há 8 anos
Introduction to digital image processing
Hossain Md Shakhawat
•
Há 9 anos
Slide3.ppt
butest
•
Há 14 anos
Raster animation
abhijit754
•
Há 8 anos
Animation
Vasu Mathi
•
Há 8 anos
Java beans
Ramraj Choudhary
•
Há 8 anos
Unit4wt
vamsi krishna
•
Há 11 anos
Jdbc Ppt
Centre for Budget and Governance Accountability (CBGA)
•
Há 13 anos
Enterprise Java Beans - EJB
Peter R. Egli
•
Há 12 anos
Storage Area Networks Unit 4 Notes
Sudarshan Dhondaley
•
Há 9 anos
Linear regression
Tech_MX
•
Há 11 anos
Fundamentals of Financial Ratio Analysis
B.V. Raghavendra
•
Há 7 anos
Cloud Computing and Virtualization
Mahbub Noor Bappy
•
Há 9 anos
Big Data & Text Mining
Michel Bruley
•
Há 10 anos
Text Mining with R -- an Analysis of Twitter Data
Yanchang Zhao
•
Há 9 anos
Grid computing ppt
Richa Chaudhary
•
Há 11 anos
Personal Information
Organização/Local de trabalho
Ajmer Area, India, ajmer region India
Cargo
Assistant Professor
Setor
Education
Sobre
This is Aakanksha Jain, an assistant professor at Poornima University.
Technical Skills:IMAGE PROCESSING,BIG DATA,MACHINE LEARNING ,JAVA
TOOLS: WEKA, MATLAB
Marcadores
java
oops
architecture of distributed database processing s
data communication concept
concurrency control and recovery
distributed database design
cost complexity pruning
overfitting
reduction in variance
entropy
information gain
gini index
gini impurity
decision tree
random forest
machine learning
forward feature elemination
backward feature elemination
curse of dimensionality
dimension reduction
feature extraction
feature selection
inheritance
2-d array
1-d array
array
probability
discrete mathematics
data warehousing who need data warehousing archite
transaction management serializability blocking d
lock protocol
timpstamp protocolo
tp rate
fp rate
precision
jrip
part
ridor
malicious code
detection of malicious executables
association tables
thining
bifrucation
ridge count
fingerprint matching
histogram matching (specification
histogram equalization
piecewise-linear transformation functions
power-law transformation
log transformations
image negatives
basic gray level transformations
histogram processing.
image subtraction
enhancement using arithmetic/logic operations
image averaging
smapling and quantization
image formation model
visual perception
image sensing and aquasition
Ver mais