Personal Information
Entreprise/Lieu de travail
Ajmer Area, India, ajmer region India
Profession
Assistant Professor
Secteur d’activité
Education
À propos
This is Aakanksha Jain, an assistant professor at Poornima University.
Technical Skills:IMAGE PROCESSING,BIG DATA,MACHINE LEARNING ,JAVA
TOOLS: WEKA, MATLAB
Mots-clés
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
Tout plus
Présentations
(13)J’aime
(32)Random forest and decision tree
AAKANKSHA JAIN
•
il y a 2 ans
Dimension reduction techniques[Feature Selection]
AAKANKSHA JAIN
•
il y a 2 ans
Probability
AAKANKSHA JAIN
•
il y a 4 ans
Introduction to trigonometry
Gayathri Gaya
•
il y a 10 ans
Distributed Database Management System
AAKANKSHA JAIN
•
il y a 5 ans
WEKA Tutorial
butest
•
il y a 14 ans
What is Big Data?
Bernard Marr
•
il y a 10 ans
Enhancement in spatial domain
Ashish Kumar
•
il y a 11 ans
Image compression
Ale Johnsan
•
il y a 10 ans
Presentation on Android operating system
Salma Begum
•
il y a 9 ans
Perceptron
Nagarajan
•
il y a 13 ans
Big data ppt
Nasrin Hussain
•
il y a 10 ans
What is big data?
David Wellman
•
il y a 10 ans
Advance image processing
AAKANKSHA JAIN
•
il y a 6 ans
Big data unit i
Navjot Kaur
•
il y a 8 ans
Introduction to digital image processing
Hossain Md Shakhawat
•
il y a 9 ans
Slide3.ppt
butest
•
il y a 14 ans
Raster animation
abhijit754
•
il y a 8 ans
Animation
Vasu Mathi
•
il y a 8 ans
Java beans
Ramraj Choudhary
•
il y a 8 ans
Unit4wt
vamsi krishna
•
il y a 11 ans
Jdbc Ppt
Centre for Budget and Governance Accountability (CBGA)
•
il y a 13 ans
Enterprise Java Beans - EJB
Peter R. Egli
•
il y a 12 ans
Storage Area Networks Unit 4 Notes
Sudarshan Dhondaley
•
il y a 9 ans
Linear regression
Tech_MX
•
il y a 11 ans
Fundamentals of Financial Ratio Analysis
B.V. Raghavendra
•
il y a 7 ans
Cloud Computing and Virtualization
Mahbub Noor Bappy
•
il y a 9 ans
Big Data & Text Mining
Michel Bruley
•
il y a 10 ans
Text Mining with R -- an Analysis of Twitter Data
Yanchang Zhao
•
il y a 9 ans
Grid computing ppt
Richa Chaudhary
•
il y a 11 ans
Personal Information
Entreprise/Lieu de travail
Ajmer Area, India, ajmer region India
Profession
Assistant Professor
Secteur d’activité
Education
À propos
This is Aakanksha Jain, an assistant professor at Poornima University.
Technical Skills:IMAGE PROCESSING,BIG DATA,MACHINE LEARNING ,JAVA
TOOLS: WEKA, MATLAB
Mots-clés
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
Tout plus