A Comprehensive Overview of Machine Learning: Theory and Algorithmic Insights
Keywords:
Machine Learning, Supervised Learning,, Unsupervised Learning,, Algorithms, Instant Learning,, Ensemble LearningAbstract
A new wave of technology called SMAC (Social, Mobile, Analytic, Cloud) is making it possible for
smart tools, networked processes, and big data to work together in the future. A huge amount of data has
been created by this virtual world, which is speeding up the use of machine learning solutions and
methods. Machine Learning lets computers behave like humans and change how they do things. When
machine learning is used, every contact and action is turned into something the system can learn from
and use the next time. This work gives an outline of this data analytics method that lets computers learn
and do what people naturally do: discover things on their own. The basics of machine learning are
covered, along with its meaning, terminology, and uses, explaining what it is, how it works, and why it
is important. The machine learning technology plan is talked about to figure out and confirm its promise
as a business and industry practice. The main goal of this work is to show why machine learning is the
way of the future.