Artifical Intelligence
How ML & AI Compliments Each Other & Their Impacts on Lifestyle
Artificial Intelligence and Machine Learning paced up to from the past half-decade. Companies are already investing huge capital in them.
Artificial Intelligence and Machine Learning paced up to from the past half-decade. Companies are already investing huge capital in them. ML & AI Compliments, There was a time when for work, you would visit different places. For simply listening to music- we
bought cassettes, CDs, and DVDs.
As the world is getting more data-centric, now everything is available online. The
need for more updated AI and ML is required in every business that provides
online buying facilities.
Searching for businesses on Google, online music through several applications like
Spotify, Ganna, Youtube Music, we are getting everything in just fractions of
seconds.
While talking about the updated version of the techno world, the question remains
the same. Where is Artificial Intelligence, and where we can get clarity on
Machine Learning?
So, let us clear the air:
Who is not aware of SIRI these days or Alexa or Ok Google? Have you ever
noticed you are having a conversation with a machine? Which is programmed to
act like humans and try to understand the humans’ languages.
Artificial intelligence is itself a well-explained term. It explains how machines can
behave as a human with the intent to get the work done like any human would have
done.
The Google definition of AI – “Theory and development of computer systems able
to perform tasks normally requiring human intelligence, such as visual perception,
speech recognition, decision-making, and translation between languages.”
Machine Learning– It is a subcategory of AI that provides the machine with an
ability to learn and perform based on its experiences or previous data.
AI or ML engineers train algorithms like Linear Regression, Logistic Regression,
Decision Tree, SVM. Naive Bayes, KNN, K-Means, Random Forest, and many
more to machines.
The motive of machine learning is to extract the knowledge from historical data
and improve itself without being specifically programmed. In this process,
computer systems predict the future, make decisions, and remain updated.
Analyzing the massive amount of structured and semi-structured data and
generating accurate results.
Some of the examples for a clear understanding of ML are – Email spam filters,
recommendations based on your past choices, or purchase or your recent search on
Google.
Ever wondered? How does Facebook know that you are good friends with
someone? Because of ML, it gathers the data of your previous activity- tagging,
photos, words share, etc. on social media.
ARTIFICIAL INTELLIGENCE
MACHINE LEARNING
The main aim of AI is to deliver the
service successfully, not giving any
importance to accuracy.ML tries to get as accurate as possible.
It is a part of computer science and
programmed to perform smart work.Not to be programmed but to get all the
learning from the historical data.
AI aims to enhance natural intelligence to
resolve a difficult crisis.ML aims to take the insight of the data
while focusing on specific tasks and
optimize machine performance.
AI is decision making.
Work on previous data and act
accordingly.
It leads to developing a system that can
work as a human.It involves creating self-learning
algorithms.
Machine learning and deep learning are
subcategories of AI.Deep learning is the main subset of
machine learning.
AI leads to intelligence or wisdom.
ML leads to knowledge.
The main applications of AI are Ok
Google, Siri, Alexa, Expert System,
Online games, an intelligent humanoid
robot, etc.Examples of ML are Online
recommender systems, Google search
algorithms, Facebook auto friend
tagging suggestions, etc.
Since capabilities, AI is divided into three
types. Those are Weak AI, General AI, and Strong AI.Ml is divided into Supervised
Learning, Unsupervised Learning, and Reinforcement Learning.
It includes learning, reasoning, and self-correction.
It involves discovering and self-
correction while exposed to new data.
AI can work with Structured, semi-
structured, and unstructured data.Machine learning transactions with
Structured and semi-structured data.
Final Words
These were some of the insights of artificial intelligence and machine learning.
They are not different. Instead, they are complementing each other. In other words,
AI is a part of machine learning that is continuously pushing AI to the next levels
and making human efforts minimal.
In this article, we tried to tell you the difference not in the way they are opposed
but how they complement each other. So, ML & AI Compliments while going to the future, make sure you should never misunderstand the roles of machine learning and artificial
intelligence.
Reference Reading : ML & AI Compliments
https://www.excelr.com/blog/data-science/natural-language-
processing/implementation-of-bag-of-words-using-python