Personal Information
Profession
Lecturer
Secteur d’activité
Education
À propos
MSc Computer Science.
Mots-clés
artificial intelligence
data science
ai
business intelligence
omega teched
c programming
tyit sem6
model evaluation matrix
operators in c
dbms
steps in knowledge engineering
knowledge engineering
knowledge management process
decision trees
supervised and unsupervised learning
machine learning
data
discrete vs continuous
local beam search
first order logic
environment
data pipelines
loading
transformation
extraction
etl
data management activities
standard deviation
model
spice model
median
mean
auc
roc curve
confusion matrix
f1 score
recall
precision
accuracy
line plot
bar plot
scatter plot
box plot
exploratory data analysis
eda
histogram
visualization techniques
data transformation
data preprocessing
data cleaning
data procession
merging
feature selection
data preprocession.
quantitative data
qualitative data
different types of data
tycs
knowledge
information
big data
boosting
bagging
ensemble learning
association rule in ml
confidence
lift
support
association rule mining
bellman's equation
features
reinforcement learning
expectation maximization
e m algorithm
information gain
information technology
entropy
unsupervised learning
decision tree
types of machine learning
nested if
if else ladder
if slse
if statements in c
special operators
conditional operators
assignment operators
bitwise operators
logical operators
relational operators
increment decrement operators
arithmetic operators
structure of c program
keywords
identifiers
algorithm & flowchart
c programming omega teched
aggregation
generalization
specialization
extended er model
enhanced er model
eer
binary vs ternary relationship
entity vs relationship
entity vs attributes
er design issues
total participation
partial participation
participation constraints in er diagram
many to many
many to one
one to many
one to one
mapping cardinalities
n-ary relationship
ternary
binary
unary
degree of relationship set
relationship
types of attributes
er models
entity relationship
durability
consistency
isolation
atomicity
transaction management
acid properties
limitation of dbms
advantages of dbms
dbms schema
database advantages
types of database
database
tybsc it sem5
unification
generalized modus ponens
existential instantition
universal instantiation
inference rules for quantifiers
circuit domain
tyit sem5
modus pronens
inference engine
inference engine approaches
backward chaining
forward chaining
raster and vector display.
applications of computer graphics
applications.
introduction to computer graphics
limitations
advantages
development of expert system
expert system
artificial vs natural intelligence.
machine learning vs deep learning
process and practice approach.
approaches
knowledge management activities
tacit and explicit knowledge
information and knowledge
relationship between data
knowledge management
optimization models for logistic planning
supply chain management
logistic and production models
sales force management.
up-selling
cross selling
tasks of relational marketing
relational marketing
marketing intelligence
marketing models
divisive approach
agglomerative
hierarchical clustering
types of clustering
k-means clustering
clustering
support vector machine.
artificial neural network
logistic regression
classification algorithm
naive baye's classifier.
k-nearest neighbors
tyit sem-6
regression
classification
six step crisp-dm
data mining applications
how data mining works
data mining
optimization model
risk analysis
pattern recognition
predictive
business intelligence.
classes of model
dynamic
static
stochastic
deterministic
symbolical
analogical
iconic
types of mathematical model
limitations of dss
phases in the development of dss
objectives of dss
components of dss
decision support system
etl process
components of bi
architecture of bi
mathematical model
information knowledge
introduction to bi
uninformed search in ai
dfs
bfs
bidirectional search
depth first search
breadth first search
uninformed search
known vs unknown
single agent vs multiagent
episodic vs sequential
deterministic vs stochastic
static vs dynamic
fully observable vs partially observable
types of environment in ai
wumpus worls
structure of agents
model based agents
reflex agents
8 queens problem
8 puzzle problems
problem solving agents
simulated annaling
hill climbing
local search
propositional logic
knowledge based agents
introduction
what is ai
introduction to ai
artificial search
informed search
best first search
history of ai
learning agent
utility agent
goal based agent
genetic algoritjm
foundations of artificial intelligence
properties of quantifier
predicate logic
quantifiers
elements of fol
a start search with examples
informed search in ai
a start search
artificial intelligence applications
application of ai
example of and-or search
and or search
alpha beta pruning
peas
rational agents
agent program
agent functions
sensors
agents
optimal decision in games
problem formulation
game tree
adversarial search
dcl
tcl
dml
ddl
sybcom
syit
database languages
relational table
join
relational database
rdbms
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Personal Information
Profession
Lecturer
Secteur d’activité
Education
À propos
MSc Computer Science.
Mots-clés
artificial intelligence
data science
ai
business intelligence
omega teched
c programming
tyit sem6
model evaluation matrix
operators in c
dbms
steps in knowledge engineering
knowledge engineering
knowledge management process
decision trees
supervised and unsupervised learning
machine learning
data
discrete vs continuous
local beam search
first order logic
environment
data pipelines
loading
transformation
extraction
etl
data management activities
standard deviation
model
spice model
median
mean
auc
roc curve
confusion matrix
f1 score
recall
precision
accuracy
line plot
bar plot
scatter plot
box plot
exploratory data analysis
eda
histogram
visualization techniques
data transformation
data preprocessing
data cleaning
data procession
merging
feature selection
data preprocession.
quantitative data
qualitative data
different types of data
tycs
knowledge
information
big data
boosting
bagging
ensemble learning
association rule in ml
confidence
lift
support
association rule mining
bellman's equation
features
reinforcement learning
expectation maximization
e m algorithm
information gain
information technology
entropy
unsupervised learning
decision tree
types of machine learning
nested if
if else ladder
if slse
if statements in c
special operators
conditional operators
assignment operators
bitwise operators
logical operators
relational operators
increment decrement operators
arithmetic operators
structure of c program
keywords
identifiers
algorithm & flowchart
c programming omega teched
aggregation
generalization
specialization
extended er model
enhanced er model
eer
binary vs ternary relationship
entity vs relationship
entity vs attributes
er design issues
total participation
partial participation
participation constraints in er diagram
many to many
many to one
one to many
one to one
mapping cardinalities
n-ary relationship
ternary
binary
unary
degree of relationship set
relationship
types of attributes
er models
entity relationship
durability
consistency
isolation
atomicity
transaction management
acid properties
limitation of dbms
advantages of dbms
dbms schema
database advantages
types of database
database
tybsc it sem5
unification
generalized modus ponens
existential instantition
universal instantiation
inference rules for quantifiers
circuit domain
tyit sem5
modus pronens
inference engine
inference engine approaches
backward chaining
forward chaining
raster and vector display.
applications of computer graphics
applications.
introduction to computer graphics
limitations
advantages
development of expert system
expert system
artificial vs natural intelligence.
machine learning vs deep learning
process and practice approach.
approaches
knowledge management activities
tacit and explicit knowledge
information and knowledge
relationship between data
knowledge management
optimization models for logistic planning
supply chain management
logistic and production models
sales force management.
up-selling
cross selling
tasks of relational marketing
relational marketing
marketing intelligence
marketing models
divisive approach
agglomerative
hierarchical clustering
types of clustering
k-means clustering
clustering
support vector machine.
artificial neural network
logistic regression
classification algorithm
naive baye's classifier.
k-nearest neighbors
tyit sem-6
regression
classification
six step crisp-dm
data mining applications
how data mining works
data mining
optimization model
risk analysis
pattern recognition
predictive
business intelligence.
classes of model
dynamic
static
stochastic
deterministic
symbolical
analogical
iconic
types of mathematical model
limitations of dss
phases in the development of dss
objectives of dss
components of dss
decision support system
etl process
components of bi
architecture of bi
mathematical model
information knowledge
introduction to bi
uninformed search in ai
dfs
bfs
bidirectional search
depth first search
breadth first search
uninformed search
known vs unknown
single agent vs multiagent
episodic vs sequential
deterministic vs stochastic
static vs dynamic
fully observable vs partially observable
types of environment in ai
wumpus worls
structure of agents
model based agents
reflex agents
8 queens problem
8 puzzle problems
problem solving agents
simulated annaling
hill climbing
local search
propositional logic
knowledge based agents
introduction
what is ai
introduction to ai
artificial search
informed search
best first search
history of ai
learning agent
utility agent
goal based agent
genetic algoritjm
foundations of artificial intelligence
properties of quantifier
predicate logic
quantifiers
elements of fol
a start search with examples
informed search in ai
a start search
artificial intelligence applications
application of ai
example of and-or search
and or search
alpha beta pruning
peas
rational agents
agent program
agent functions
sensors
agents
optimal decision in games
problem formulation
game tree
adversarial search
dcl
tcl
dml
ddl
sybcom
syit
database languages
relational table
join
relational database
rdbms
Tout plus