1.1 that technology used to perform given task. For

1.1  General
Introduction

 

Machine learning is the field in computer
science that is being continuously developed from traditional era to modern
era.
In past computer algorithms used to be explicitly programmed which was used by
the computer to solve or calculate the given problem. But now day’s machine
learning algorithms instead allows the computer to train on past data to
improve its result or solution for the given task. Machine learning is also the
field of computer science that has the ability to learn by itself without being
programmed clearly or in a detailed way. The trend of Machine learning in
computer science is growing significantly now days.  (Tagliaferri, 2017/9/28)

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Simply, the goal of machine
learning is to analyze the certain given data to a computer and improve the
given task based on past experience that can be understood and utilized by
people. (Alpaydin, 2014/8/22)

In 1950 a man named Alan
turning created the “Turing test”. Which was able to determine if the computer
has a real intelligence. In 1952 for the very first-time computer learning
program was written by Arthur Samuel and the name of the program was the game
of checkers. In this program, the more user used to play the game computer used
to improve at the game by studying which moves made up winning strategies and
incorporating those moves into its program. (Marr, 2016)

 

1.2
Current scenariooverview.

 

Machine learning is becoming a
dominant field of computer science so, machine learning is the future of
computer science which must be learned by today’s generation people in order to
bring dramatic revolution in field of computer science. As this is the age of
big data machine learning is being used in various field of science, from
astronomy to biology as well as in everyday life of people, as we use digital
devices more data is continuously being generated and collected as well. Those
data may not be of any use to many people but, some smart people find new ways
to use that data and turns it into a useful product or service. In this
transformation, machine learning plays a huge role. (Alpaydin,
2014/8/22)

 

2. Background.

 

2.1
Elaboration.

 

In today’s world, Machine
learning has changed the way that technology used to perform given task. For
example, let us consider a supermarket that has a huge showroom for all kinds
of goods. Those goods are sold to millions of customers all around the world. So,
every day there is a huge transaction that is stored in the computer. In
supermarket, customer wants to find the goods in a cozy way that suits them or
their work and that satisfy their needs. Whereas owner of the supermarket wants
to increase the profit and sales of the goods by predicting customers need and
demand which is about next to impossible without machine learning. So, to solve
this problem we need an algorithm to run in the computer, which we don’t have.
But, supermarket has data of every customer like what customers were looking
for, what they bought. Analyzing such data helps us understand the process and
we can predict what customer will buy or interested in that helps the owner to
maximize the sales and profit as well. (Alpaydin, 2014/8/22)

 

 

There are some of the
real-world application of machine learning that is already used in real life
they are:

i.             
Speech recognition:

Nowadays Speech recognition is in more practice
then before. Speech recognition enables the recognition of spoken language into
text form by computers, which uses machine learning in order to train the
system to recognize speech. Because there is a high rate of an accurate result
when the system is trained rather than the untrained system.

 

ii.           
Computer vision:

Some of the computer vision that is developed
by using machine learning are face recognition system and system that classify
microscope images of cells automatically. For example in us more than 85% of
the handwritten emails are arranged automatically, using trained software that
uses machine learning.

 

iii.          
Bio surveillance:

Machine learning is playing a very important
role in detection the diseases. For example, the project called RODS collects
the data of admission reports to emergency rooms across western Pennsylvania,
and with the use of machine learning software the data of admitted patients are
analyzed in order to detect the symptoms for a particular patients diseases and
their geographical distribution. Some current work involves adding of data of
purchased medicine in medical stores to improve the machine learning system.

 

iv.          
Robot control:

Machine learning is wildly used in robots especially to
acquire control strategies. For example, there was a completion called
Darpa-sponsored that involved 100 miles running race in the desert which was
won by a Robert that used machine learning in which Robert self-collected the
data and used it in detecting the distance objects due to which Robert was able
to win. (Mitchell,
2006)

 

3. Implementation.

 

3.1
Idea Quality.

My idea for machine learning
is to bring revolution in the field of marketing in Nepal. Machine learning is a
new trend in the computer system that is being wildly used by many companies in
order to achieve their goals. So implementing machine learning in Nepal will be
difficult as well as challenging. However, once we are able to implement it
then it will totally change the way we do marketing. As I said before machine
learning can predict future by analyzing past data so we can predict what
customer is willing to buy or interested in which results as an improvement in
the sales of goods and profit. 

 

3.2
Plan of the implementation.

 

I am planning to implement
machine learning with Chaudhary group (CG) in near coming future. Because
Chaudhary group is one of the leading multination company of Nepal that has 12
global partners and associates as well as Chaudhary group is a presence in more
the 20 countries. So with the help of machine learning marketing field of
Chaudhary group will get improved significantly in upcoming future. As machine
learning will helps in reducing cost 

3.3
Technical skills of machine learning:

 

i.             
java/c++/python:

To implement machine learning we require a good
knowledge of Java/python/c++. Each of this programming language has its own
role to play in machine learning. Java helps in compiling/debugging, c++ helps
in speeding cod up and python contains machine learning algorithm that produces
compact. And all of these programming language courses are available in Nepal.

ii.           
Applied math and algorithms:

Math and algorithms play very important role in
machine learning without it machine learning cannot function. Because in order
to function machine learning need curtain algorithms and math that helps to
understand subject and discriminate models.

 

iii.          
Distributed computing:

Machine learning takes huge number of data sets
in order to perform task as it has to analyze past data and improve the
algorithms on its own. Storing huge number of data in a single machine is not
possible so we need different computer in order to process data.

 

iv.          
Learning more about advance signal processing
techniques:

There are lots of signal processing techniques
now days some of them are contour lets, shearlets, bandlets which can be used
to solve our problems. (strife, 2015)

 

3.4
Hardware requirement:

 

i.             
Graphics processing unit(GPU):

We require a good Graphics processing unit in
order to perform given task smoothly. Some of the Graphics processing unit are
GeForce 9000series, GeForce 10series etc.

ii.           
Central processing unit(CPU):

In order to run machine learning algorithm we
require a high central processing unit like 3.8 GHz with core i7-6850k. If we
require highest cup then we there is core i9 as well which is latest one.

iii.          
System memory:

At least 8 GB of memory is needed which can be
changed later up to 64 GB later in motherboard.

iv.          
Storage:

If we have SSH hard disk it is good because it
is faster than HHD but if we have HHD one there should be lots of space. For
HHD at list 1TB is required.

v.           
Cooling:

Cooling computers helps to maintain the
temperature of computer as computer gets heated during its long time use. If
computer get heated more it will effect in its preformation so, cooling is
needed.

vi.          
Power supply:

If require high capacity of computers for
machine learning so, high power supply is also needed form 1400 to 1600 watts. (ravankar, 2017)

 

4. CONCLUSION

 

4.1
SUMMARY OF KEY FINDING:

 

Machine learning has become more popular from
recent year even though it was started in late 90s. But, still very few company
uses it to improve their company sales while other are planning to implement it
because it is the only way to survive in marketing. It is being continuously
being innovated. Mainly it is b

 

4.2
FUTURE ESCALUTION:

In the near future machine learning is likely
to be widely implemented in most of fields with in computer science. Mostly in
marketing field due because it brings real time to life, it eliminates business
marketing’s greatest enemy, it reduces costs and help to structure marketing
content. (Samuelson, 2017)