An Introduction to Machine Learning

Anmol Sharma

7 months ago

An Introduction to Machine Learning | insideAIML
Table of Content
  • Introduction
  • What is Machine Learning?
  • Types of Machine Learning
  • Programming Languages for Machine Learning
  • Machine Learning Applications
  • Summary

Introduction

          We are living in the era of automation, most of the tasks we do in our daily routine are automated. Machine learning plays a major role in automating things. It is one of the top technologies at present and has a great future. It is a branch of Artificial Intelligence that builds algorithms to find hidden relations and patterns in data. In this article, we’ll discover about Machine learning and see how it is used in the real world. Let’s begin this text with a famous quote on Machine learning.
“Machine learning is that the last invention that humanity will ever get to make.” ~Nick Bostrom

What is Machine Learning?

          Machine Learning is a set of algorithms/techniques, which naturally learns through data and improves over time as they’re exposed to more data. Algorithms and data are the key part of machine learning actions. Algorithms are constantly under work to become more accurate and reliable but the main factor that determines the success of the Machine Learning model is the data available for training the same model.
The workflow of the Machine learning model is described below.
 Workflow of the Machine learning model| insideAIML

Types of Machine Learning 

There are three types of machine learning and they are as follows
1. Supervised Learning
2. Unsupervised Learning
3. Reinforcement Learning

Supervised Learning

         Supervised learning means training the model with labeled data i.e., data with both input and
output labels.

Unsupervised Learning

          In the case of unsupervised learning, the model is trained using unlabelled data i.e., In this
case, we don’t know the output for a specific input value.

Reinforcement Learning

          Reinforcement learning makes the machine learn from the result of its actions i.e, the model
will learn whether to perform a specific operation or not by its experience.

Programming Languages for Machine Learning

Below is a list of the most popular programming languages for Machine learning.

Python

          Python is the most famous Machine learning language and the reason is Python is easy to use and has a wide number of Machine learning packages. It is used by almost 60% of Machine learning developers.

R

          R is the most popular Machine learning language among statisticians as it offers an excellent environment for data analysis, manipulation and visualization. It is a highly flexible and compatible language.

Java

          Java is not famous like Python and R for Machine learning. But it is gaining high popularity as the developers who use Java don’t need to learn Python or R to move to the Machine learning field. And the other big reason is that most of the open-source big data tools like Hadoop, Spark are written in Java. 

Golang

          Golang is a programming language that was developed by Google and was launched in 2009. It is also a good choice for Machine learning especially when we have to deal with large datasets because in Golang the code compiles to binary form that makes it fast. It is easy to use and has a good amount of Machine learning packages.

LISP

          LISP is the oldest programming language used for Artificial Intelligence. It is the reason for the development of Artificial Intelligence. It is considered the most powerful language for solving complex problems and it has many Machine learning languages like Python, R, Java and many other.

Machine Learning Applications

          At present Machine learning has its applications in almost every domain. Below are some of the top applications of Machine learning.
  • Virtual Assistants
  • Weather Forecasting
  • Stock, Crypto Price Prediction
  • Social Media Services
  • Anomaly Detection
  • Video Surveillance
  • Recommendation Systems
  • Sentiment Analysis
These are very few of the countless applications of Machine learning.

Summary

          In this article, we learned about Machine learning, its types, programming languages for Machine learning and its applications.  This is just an introductory article on Machine learning, we tried to cover most of the common things about Machine learning which one should know before starting their Machine learning journey.
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