Com
p
l
e
ted r
e
gi
s
t
r
a
t
i
on f
o
rms
s
hould be
se
nt
to t
h
e
c
our
s
e
c
o
ordin
a
t
o
r
a
t
t
he
f
o
l
l
o
w
ing
a
ddre
ss
:
VENU
E FOR C
L
A
SSE
S
C
o
u
r
se
w
i
l
l be
h
el
d at
Lab block, SPSU.
G. Iyyakutti Iyappan
Cou
rse
Coo
r
di
n
a
t
o
r
Electronics and Communication
Engineering
Sir Padampat Singhania University
Bhatewar
Udaipur
,
Rajasthan
–
313 601
.
P
hone
:
+91 2957
-
226095 (Ext
–
350)
F
a
x
:
+91 2957
-
226094
e
-
m
ail
:
iyyakutti.iyappan@spsu.ac.in
IM
P
O
R
T
A
N
T
D
A
T
E
S
L
a
s
t
d
a
t
e
f
or
r
e
ce
i
pt
o
f
r
e
g
i
s
t
r
ati
o
n
:
April 30
,
2
0
13
N
ot
i
f
i
cati
o
n
o
f
acc
e
p
t
a
n
c
e:
May
3
, 2
0
13
C
o
u
r
se d
a
t
es:
M
ay
13
–
16
, 2
0
13
N
ote:
Inc
o
m
p
lete
ap
p
li
c
ati
o
n
f
o
r
ms
w
ill
n
ot
be
en
t
e
r
t
ained.
For
ad
d
itio
n
al
co
p
i
es
of
t
he
r
eg
i
strati
o
n
fo
r
m,
ple
a
se
use
a
pho
t
oco
p
y
or
t
y
pe
in
t
he
f
o
r
m
at
gi
v
e
n
.
RE
GI
S
T
R
A
T
IO
N
C
a
n
d
i
d
a
t
es
sh
o
u
l
d
comp
l
ete
t
h
e
e
n
c
l
os
e
d
r
e
g
i
s
tr
a
t
i
on
f
o
r
m
,
a
n
d
s
e
nd
i
t
by
m
a
i
l
or
f
ax
t
o
t
he
C
o
o
r
d
i
n
a
t
or.
C
o
n
f
i
rm
a
ti
on
of
eligible
candidates
wil
l
be
on
a
f
i
r
st
c
o
m
e
f
i
r
st
ser
v
ed
b
a
s
i
s
up
t
o
a
m
a
x
i
m
um
o
f
30
ca
n
d
i
d
at
es.
The coordinator
should receive the completed
reg
i
strat
i
on forms by
April
30
, 2013
.
Course Fee
: Rs.500 per participant
E
LI
G
I
B
I
LI
T
Y
It is an inter disciplinary course applicable to all
departments.
F
a
cu
l
t
y
m
emb
e
r
s
of
e
n
g
i
n
e
eri
n
g
co
ll
e
g
es
and universities
, Students
and Industry
persons
are
e
li
g
i
b
l
e
t
o
at
t
e
n
d
t
h
i
s co
u
r
se
.
F
o
r
a
n
y
f
ur
t
h
e
r
i
n
f
o
r
m
at
i
on
r
e
g
a
r
d
i
ng
pr
o
gr
a
m
s at
SPSU
,
p
l
e
a
se
contact
:
Registrar
Sir Padampat Singhania University
Bhatewar
Udaipur 313 601, Rajast
han
Telephone: +91 2957
-
226095
(6 Lines)
Telefax: +91 2957
-
226094
Email:
info@spsu.ac.in
Sho
r
t
T
erm
C
o
ur
s
e on
Introduction to Machine Learning
M
a
y
13
-
1
6
,
2
0
1
3
Co
o
rdin
a
t
o
r
G
.
Iyyakutti Iyappan
ECE Department
Sir Padampat Singhania University
,
Udaipur
,
Rajasthan
313 601
,
INDIA.
INT
R
ODU
C
TION
The field of machine learning is concerned with the
question of how to construct computer programs
that improve
automatically with experience
.
This
introductory course on machine learning will give an
overview of many concepts, techniques, and
algorithms in machine learning, beginning with
topics such as linear regression and ending up with
more recent topics such a
s boosting, support vector
machines, hidden Markov models, and Bayesian
networks. The course will give the audience the
basic ideas and intuition behind modern machine
learning methods as well as a bit more formal
understanding of how, why, and when they
work
.
About the course
Machine learning (ML) is one of the fastest growing
areas of science. It is largely responsible for the rise
of giant data companies such as Google, and it has
been central to the development of lucrative
products, such as
Microsoft’s Kinect, Amazon’s
recommender system, the spam detection systems
of Facebook, and the advertising engines of these
and many other companies. ML is the key enabling
technology behind face detection in consumer
cameras, news personalization, book
and movie
recommender systems, image and video search,
credit card fraud detection, speech recognition
systems, and many more applications that most
people have begun to take for granted. ML has also
begun to make it possible to have automatically
-
driven c
ars, more efficient energy management
systems, and improved systems for health
-
care
management.
C
O
URS
E
C
O
N
T
E
N
T
Introduction
F
oundational issues,
linear algebra
(
vector
spaces and decision surfaces
)
and simple
learning methods including
perceptron
learning
Neural Networks and Boosting
Applications
Linear prediction
Regularization and linear regression
Bayesian learning
Nearest Neighbour Based Classifiers
Combination of classifier
Clustering
Hidden Markov Models
S
upport vector
machine
and kernel
-
based learning
Decision trees
D
imensionality reduction methods
Genetic algorithms
Applications (
recognition,
detection
and text
classifications
)
BOARDING & LODGING
:
Boarding and lodging provided in the Student
Hostels
will be chargeable
(Rs 150/day)
.
A request
is to be made in this regard at the time of
registration.
S
ho
rt
T
e
r
m
C
o
u
rse
o
n
Introduction to Machine Learning
M
ay
13
-
1
6
, 2
0
13
R
e
gis
t
rat
i
on
Fo
r
m
N
a
me
(
in
b
l
o
ck lette
r
s
)
:
(
M
r
.
/
M
rs
.
/
M
s
.
)
Desi
gna
ti
on
:
Org
an
i
z
a
ti
on:
M
a
iling
A
dd
r
es
s
:
Tele
phon
e
:
F
a
x:
Em
a
il:
_
E
du
c
a
ti
o
n
a
l
Q
ua
lif
i
c
a
ti
o
n
:
Ex
p
erie
n
c
e:
Ac
co
mm
oda
ti
o
n
in
C
a
m
pu
s
*
:
Y
ES /
NO
S
i
gna
t
u
r
e
o
f
A
pp
lic
a
n
t:
Spon
s
o
rs
h
ip
a
n
d
s
i
gna
t
u
r
e
o
f
P
r
i
n
ci
pa
l
o
f
t
h
e
C
o
lle
g
e /
In
s
titute
(
w
i
th
da
te
&
s
e
a
l)
*
I
ag
r
ee to
pa
y the
co
s
t
o
f
R
oom
,
a
s
p
er
the
r
ul
e
s
.
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