Why Learn Machine Learning?

 Why Learn Machine Learning?

If we want to know "Why Learn Machine Learning", we must know what is Machine Learning.

*So What is Machine Learning?

Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of Artificial Intelligence.

*Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks.

*Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a related field of study, focusing on exploratory data analysis through unsupervised learning.[5][6] In its application across business problems, machine learning is also referred to as predictive analytics.

In simple words, Machine Learning is teaching something to a machine, just like you teach something to a person.

*Prerequisites of Machine Learning:

Nothing as such, but should have a good understanding of (i) PYTHON (Compulsory) and (ii) Data Science using Python (Optional).

*Now Let's Look for some REASONS to learn Machine Learning:

  1. Better career opportunity.
  2.  High salaries.
  3. Machine Learning is the future.
  4. Machine Learning products are trending in the market.
  5. Highly demanded profession.
  6. Machine Learning is fun.
*Why use Python to learn Machine Learning?

There are many programming languages which are use to learn ML. Like Java, C. C++. But why we should use Python instead of this?

  1. Python is easy.
  2. Python is fast enough.
  3. Python has ML libraries.
  4. Python is a cross platform Programming Language.

To learn Python --- CLICK HERE

Comments

Post a Comment

Popular posts from this blog

Machine Learning Facts & Motivation

 Machine Learning Facts & Motivation Machine Learning is a technique, by which, with some data you are giving an opportunity to the computer to create some rules. Input of Machine Learning is data and the output is some set of rules. According to which it analyzes the inputs, and give the users some outputs. *Though Machine Learning is popular nowadays, but the concept of ML developed in the time of 1960s. ML was not popular that time due to tha lack of hardware equipment. But in the present time we have much better and cheaper hardware components so ML is trending. *Short History of Machine Learning: The term machine learning was coined in 1959 by Arthur Samuel, an American IBM-er and pioneer in the field of computer gaming and artificial intelligence. A representative book of the machine learning research during the 1960s was the Nilsson's book on Learning Machines, dealing mostly with machine learning for pattern classification.Interest related to pattern recognition continu
Read more