Dear Readers,
I am sharing my LinkedIn article on Machine Learning. You can view the original post from the below link
https://www.linkedin.com/pulse/understanding-machine-learningdata-mining-ai-praveen-kumar-rajendran?trk=prof-post
Article
Machine Learning and Artificial Intelligence are
two hot and major research area, which is predicted to be the game changer for
the next 5-10 years in all the domains. Almost many confuse Machine Learning,
Data Mining and Artificial Intelligence. Let me try to give a simple definition
for all the 3 concepts.
Machine learning is the process of generating
algorithms to solve the real time problems. Algorithms are generated based upon
the process called "Learning". In other words, Machine learning is
the practice of giving training to generate rules and algorithms to solve the
real time problems. Machine learning is one of the AI technique, where the
machines are trained to behave as like Human beings.
Types of Machine Learning:
1) Supervised Learning - Result of the experiment
is known
2) Unsupervised Learning - Result of the experiment
is not known
3) Reinforcement Learning - Decision Making based
upon previous experience
Data mining is the application of Machine Learning
algorithms on the data which has been collected from various resources. Data
mining will enable us to analyse data and will help us to arrive some
meaningful information from the data to which the Machine learning algorithm is
applied.
From Software Engineer Perspective:
Machine Learning : Training the Software or
System and automating the repeated task which has less human
intervention.
Data Mining : Understanding the requirement and
apply the machine learning algorithms upon the data.
I hope my article would have helped you to
understand the basics of Machine Learning, AI and Data Mining.
Thank you
Regards
Praveen Kumar Rajendran
Chennai
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