Data science
includes domains like machine learning, artificial intelligence, deep learning
and many more. Data science is a huge field which covers a lot of domains under
it. In this article I will discuss more about the three above mentioned topics.
Data science and machine learning:
Machine
learning is the field of study, which offers the computer with the capability
or the ability to learn from experiences without being programmed explicitly.
It gives any computer the ability to learn from its experiences. Let us talk
about how machine learning works. It gathers data in the form of text file,
image, excel files, audio files and learn those data. Data processing is also
done when a raw form of data needs to be rectified. It builds up suitable model
and proper algorithms and learns from them. There are many applications of
machine learning. It is used in the web search engines, the engines run so well
because it has learned the ways to rank pages through complicated learning
algorithms. Machine learning is also used in photo tagging applications, it provides
any social media to tag people on any picture, this is because of a face
recognition algorithm that runs behind the application. Machine learning can be
also used for spam detecting purposes. This is done by the spam classifier
running in the background.
Data Science and Artificial
Intelligence:
Artificial
intelligence refers to that intelligence that is displayed by the machines
which simulate human intelligence. There are types of artificial intelligence.
Reactive machines, this type of AI systems are mainly reactive; they do not
have the ability to access the memories or past experiences to make their
current decisions. Limited memory is another type of AI, the system uses past
experience to make the present decisions. Self awareness is another type of AI;
These AI systems have their own consciousness. It can understand their present
state and can use the information to take current decision. There are many
applications of AI, it is used in health care, e.g., AI systems are used to
make faster and better diagnoses of patients, and this system is efficient and
more accurate than human. The AI is also used in education; it is used in the
grading system. In the present day, there are automobiles that run by using
artificial intelligence. There are sensors in the automobile which share the
information with the system and the decisions are taken according to it.
Data science and deep learning:
Deep learning is a broader concept of all machine learning processes which is based on learning or studying data representations, opposed to algorithms which are task specific. Deep learning methods mostly use neural network architectures. Deep learning is highly trained by using huge sets of data which are labeled and neural architectures that learns specifically from the given data without any manual extraction. Convolutional neural network (CNN) is one of the well known deep neural networks. It eliminates the need for manual feature extraction; it works by extracting the features directly from the data. Deep learning is basically a specialized form of machine learning.
Resource box:
We can clearly see that data science is related to almost everything in the digital and modernized world. So it has become a crucial part of everyone’s life. Data Science International Certification from University of Malaysia offers best the data science course Singapore and can help the enthusiastic pursuers of data science in the right manner.
