Advanced Research Techniques Literature Review 2022

Running head: ADVANCED RESEARCH TECHNIQUES
Advanced Research Techniques
Name of Student-
Name of University-
Author’s Note-

ADVANCED RESEARCH TECHNIQUES1
Topic:
Usefulness of Python in associating Artificial Intelligence and Machine learning
1. Literature Review:
1.1 Definition of machine learning, artificial intelligence and python
Machine learning:
As per [4], machine learning is the subset of Artificial Intelligence that states the ability
of a machine to learn in an automatic way. This automatic learning is done by including large
amount of data as well as helps to improve the experience of the users associated with the
project. Machine learning includes practice that includes machine for solving the problems for
gaining ability to think. In machine learning, if a good amount of data in provided to the system,
the system will automatically learn about how to improve the data as well as interpret the data. It
can also process the data and analyze the data that are used in the system using the concept of
machine learning.
Artificial Intelligence:
As stated by [8], the term of artificial intelligence can be termed as the science that gets
the machine to think about like humans and helps them ti make decisions similarly the human
takes. This was accomplished by Artificial Intelligence by creating robots or machines that are
able to be used in wide range [7]. The concept of AI is used in health care sectors, marketing, as
well as the business analytics. There are actually three types of AI available; artificial narrow
intelligence, artificial general intelligence, and artificial super intelligence. This is referred to as
any type of programming that helps to sort the machine learning.

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Python:
This is a programming language that helps to interpret, the languages as well as includes
dynamic semantics of high level languages. The python is considered as the data structures that
combines along with the dynamic typing feature [4]. The python includes dynamic binding as
well. The python programming also includes Development of Rapid Application as well as
includes scripting as well as language for connecting the existing components. The python
language includes supports from the module as well as includes packages that helps to encourage
the modularity of the program as well as helps in code reuse.
1.2 Reasons to choose python for AI and machine learning projects
[6] stated that for a startup company or for large company, python with AI and machine
learning helps to provide large number of benefits. Python is used in such a way that it is not
only limited to only one activity. The concept of python is used in more than one sector. The
popularity of python has allowed them to enter some of the popular as well as complex processes
of AI and ML. The reasons that explains the reasons to choose the python programming for the
AI as well as machine learning are explained below:
1. Uses less code: The AI concept include many algorithms and python helps the
algorithms to run easily and also helps to test the programs very easily [6]. Python is one of the
best competitors in AI. The concept of python also helps to write easily and helps to execute the
codes. Python helps to write easily as well as helps to implement logic within the code.
2. Uses prebuilt libraries: The language of python includes lot of programming libraries
that is needed for the AI project. Few of the libraries for python is scientific computation are

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Numpy, Scripy or AIIMA. The python has dedicated library so that it can be used for developing
the algorithm in the system.
3. Provides support: Python helps to open source with proper community. There are
many resources host that are available with python and those are included in the system [8]. The
host of resources includes developer to speed the programming in no time. There is huge
community in that includes the code of python in developing the AI programs.
4. Platform Agnostic: The concept of python in the AI and in ML helps flexibility to
provide the language in using the system. This platform of python is flexible and is a platform
independent. By changing few codes in the programming, the application might work in new
environment.
5. Very much flexible: The main advantage that this language provides is the flexibility of
programming. This programming can help to choose between the object oriented approaches or
can include scripting language in the system [3]. The best suitable language system is python.
This language works perfectly in the backend as well as is also suitable for linking different sets
if data structure in the system.
6. Very popular: With all the features provided by python, it has become very much
popular and many industries have starting taking the advantage of python along with AI and ML
[2]. the projects that are in AI mainly needs high experienced programmer and this can include
learning curve in the system. It is the extended libraries as well as includes active community
with developing the project code and improving the project code.