Machine Learning Prototype: Identification, Planning & Literature

This report delves into the application of machine learning for solving real-world problems through prototype development. It includes a literature review covering the background of AI, similar solutions, and their success. The report reflects on the prototype identification and planning process, drawing from research and practical activities. It discusses the rapid evolution of machine learning, its increasing acceptance due to enhanced efficiency, and its impact on project completion time. The literature review incorporates authenticated journals and addresses security issues, technology management, and methodologies used by experts. The report further explores machine learning's role in various sectors, including the automobile industry (driverless cars), finance (personalized banking), retail (personalized marketing), healthcare (personalized treatment), and industrial production (smart robots). The reflection section details the author's learning experience, challenges faced, and enhanced understanding of machine learning and its applications.

Running head: MACHINE LEARNING
MACHINE LEARNING
Name of the Student
Name of the University
Author Note

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Table of Contents
Introduction:...............................................................................................................................2
Literature review:.......................................................................................................................3
Reflection:..................................................................................................................................5
References:.................................................................................................................................7

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Introduction:
Machine learning is considered to be one of the most evolving technologies that have
been evolving in a very fast rate. The acceptance of the technology has been ever increasing,
the major reason behind the increase in the acceptance of the technology as that the usage of
the technology of machine learning has been increasing the efficiency of the tasks that are
being performed. The project that use the technology of machine learning gets the benefit of
completing the entire project in a better manner. In case the terminology of machine learning
is used in the completion of the project the time that is required in the completion of the
project decreases. This also acts as the main reason that the implementation of the entire
technology has been increasing.
This report will provide a literature review that will provide a brief ideology regarding
the implementation of the project. Literature review is a medium that takes into consideration
the prosecution methodology that helps in gaining the data regarding the topic that is being
discussed about. This is the reason that the completion of the project requires attaining of the
completion of the project. In order to complete the projection of the data management
quantitative research is performed that helps in providing the literature review in a much
more authenticated manner. The performance of the entire system that indicates the
functioning of the system includes the fact that the data that are written in the literature
review are gathered from the literature analysis of journals that are authenticated in nature. In
order to commence the project with highest efficiency of the project. This is due to the fact
that the data that are generated in the project management regarding the commencing of the
security issues can be well accomplished with the help of the machine learning.
This report will include rigorous and extensive research n authenticated articles in
order to maintain the projection of the data that are useful in the prosecution of the security

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issues that are present in the course of this project. In order to complete the project
management another most important thing that is performed includes the projection of
management of technology and use the same in a better proposed manner. In case to gain a
better understanding of the technology completion of the literature review plays an important
part. This report will state a brief overview of the methodologies that is used by the experts in
order to better complete the projection of the task. The security techniques that are imbibed
with the help of the machine learning are stated in this report in the section of the literature
review.
This report also provides a better convection of the study that is being performed with
the help of the data management and a reflection is provided. This reflection help in
understanding the problems that were faced during completion of this project this reflection
will also state the advantages that were enjoyed during the completion of the project.
Literature review:
The automobile industry is changing rapidly in the recent 5 to 10 years. The market
condition is shifting and that is associated with the increased competition. In addition to that
globalization, cost pressure and volatility has increased the demand for the innovation. The
innovation is required to meet the demand of the consumer for driverless car which is setting
the trend in the automobile industry. According to Reijonen et al. (2015) automobile industry
need to adopt technology. The reason that machine learning has got so much attention is the
potential of the technology in the innovation of driver less car. Driver less car is trained with
machine learning with real time traffic simulation. As the car is trained with the traffic
simulation it becomes capable to recognize the status of the traffic and it drives the car in the
road in real traffic condition without help from actual driver

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Machine learning according to is an excellent choice to bring innovation and
efficiency in the financial sector. Machine learning in financial sector can be used for
offering personalised banking service to the consumer at affordable cost. According to
Bocken and Short (2016) machine learning has the potential to analyse huge amount of data
in real time. Hence it can be used to identify the nature and authenticity of any transaction by
analysing the history of all the transaction that has made by the consumer of that particular
account. It will help to identify if the transaction is made by the authentic user or someone
else which will make the financial transaction more secure and efficient. Some leading banks
around the world have already invested in this kind of project. Although the projects are not
fully commercialised, but the technology once implemented successfully with the traditional
banking service will revolutionize the financial sector, specially the banking sector as
specified by the author
Laukkanen (2015) describes machine learning as the most significant application of
artificial intelligence and it has a huge potential in the retail sector. According to the authors
as the retail and ecommerce sector is becoming more and more popular, integration of
technology is not an option anymore, and it has become a necessity for the business. One of
the latest technology which is becoming popular in this sector is the machine learning. As the
machine learning has the ability to analyse a lot of data in real time, both in structured and
non-structured data, it is being employed for analysing data reacted to the customer service.
Ecommerce sites collects data including history of purchase, type of purchase and
recommends item to the consumer in real time. As the recommendation is based on consumer
preference, it is very likely that the consumer will be interested in that and hence it will
helpful for better consumer service and consumer retention through personalised marketing.
Another significant contribution machine learning has to make is in the field of
personal healthcare. According to Porterfield (2015) machine learning has to the potential to

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offer healthcare to each and every patient as per the requirement. When patient are treated
according to medical history the treatment becomes more effective and efficient. Machine
learning will help doctors to analyse medication data like how well the patient responds to
certain medication, what are the medication the patient is prescribed. These kind of
information will not only help to diagnose the patient better butter will help the doctor to
provide personalise treatment to the patient.
Machine learning is being adopted by technology giants like apple, google, amazon,
Samsung for designing virtual assistance. The virtual assistance according to Raisch (2016) is
one of the successful application of machine learning. The virtual assistance when asked
about certain information scans the relevant information from the vast database and where to
search for which information is easily recognised by the virtual assistance. It is possible
because the virtual assistance is trained extensively with the machine learning with millions
of data so that it can recognise the voice command and interpret information from it.
Warren (2017) has explored the application of machine learning in the field of
industrial production. According to the authors if the intelligent robot trained with machine
learning are employed in the industry for production it will help to minimize the production
cost, reduce production errors and improve efficiency.
Machine learning according to Dan (2015) is an excellent application in the industrial
production as well for designing smart robot for industrial production.
Reflection:
This report has provided me the opportunity to learn the machine learning concept in
details. I already heard about the technology but I did not have very broad knowledge about
it. So I was very excited to learn a new concept in details.

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While I was preparing the report I recognized that I did have very little knowledge
about the topic. I thought that machine learning is just what the name signifies. We just need
to train the machine. But the actual scenario is not that simple as it involved a lot of
complicated process and all if these process have to be clearly integrated for successful
application. It involves proper design of software, integration of machine learning code,
design of prototype and testing of the prototype. Now in order to recognise successful
implementation of the technology for designing a particular prototype all of these process has
to be perfectly executed. Honestly I really have not that much idea as I never explored the
application of the machine learning in industrial application. I had only idea about the
products where machine learning is being implemented, not how it is being implemented.
With these report I have gained some knowledge in this aspect also. Though the knowledge is
not very detailed, still it has improved my viewpoint about the technology.
Another important thing I learned while I was doing the literature review is that
machine learning is an application of artificial intelligence. Before doing the literature review
for preparing the report i did not have the idea that machine learning is related to artificial
intelligence. In fact I considered both to be different branch of modern technology. Hence
with this literature review I became familiar with the technology.
Hence with this report I have enhanced my theoretical as well as practical knowledge
about machine learning and its application in details.

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References:
Bocken, N.M.P. and Short, S.W., 2016. The theory of machine learning in industrial
application: a comprehensive discussion. McGraw-Hill, Inc.
Dan, A., the scope and status of machine learning in industrial application, 2015. Method and
apparatus for leading effective project execution.
Laukkanen, T., 2015. The definition and scope of machine learning in object recognition. A
modern theory of image processing, 42, pp.35-46.
Porterfield, T.E., 2015. Evaluation of image segmentation: an empirical investigation of
scope and success. International Journal of information and technology, 40(6), pp.435-455.
Raisch, W., 2016. Towards a sufficiency-driven image recognition: evaluation of as-Is
Workflow Modelling, 18, pp.41-61.
Reijonen, H., Hirvonen, S., Nagy, G., Laukkanen, T. and Gabrielsson, M., 2015. The bias of
research method in research. A modern approach, 51, pp.35-46.
Warren. N, 2017, January. The importance of machine learning for successful research
implementation: an intuitive guide.