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