Machine Learning vs Statistics: Basic Difference One Should Know
You must have heard about the debate on machine learning vs Statistics on social media. Well, this is true that many people are not aware of the key difference between both the areas. Moreover, there are several statistics students who always face this query. So, for those individuals, this blog will be helpful.
As many of you are not aware of the difference between Machine Learning and Statistics. So, we are providing you with this blog. Here, we will discuss Machine learning vs Statistics. However, scroll down to learn the basic distinction between both fields. Let’s begin with an overview.
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An Overview
Machine learning is a subfield of artificial intelligence. In this field, you will learn about machines and get the prediction outcomes. Generally, machine learning is the process of using algorithms to train data. For most data analysts, it is also a black box sometimes. In simple words, you are teaching your machine about the rules you have created.
Whereas, Statistics is a field of mathematics. It uses various mathematical solutions to find patterns in data. Moreover, Statistics is purely mathematical in nature. Different mathematical procedures identify several geometrical patterns. It helps in the collection of any insights or connections between the data (statistics). Also, Statistics have a role in identifying the trend.
However, in this battle of Machine Learning vs Statistics, let’s learn both fields in detail.
Machine Learning
Machine learning is the technology of the future. It is gaining popularity day by day. There are various sectors that use Machine Learning. For example, web search results, real-time advertisements on websites and mobile devices, robotics, etc.
Moreover, ML is a study of computational learning and artificial intelligence theory. Also, it works with Artificial Intelligence. Therefore, machine learning allows computers to learn new things through the use of programs.
In addition, we also use machine learning to produce data predictions. So, Machine learning plays an essential part in human society’s functioning.
Statistics
Whereas, Statistics is the study of data collection, analysis, presentation, and organization. Whenever we use statistics to solve a scientific or industrial problem, we carefully decide on a statistical model.
Moreover, it plays a vital role in human activity. It assists us in determining the country’s per capita income, employment rate, etc. In simple words, statistics assist us in making judgments from the collected data.
So, now let’s learn the key difference between Machine Learning and Statistics.
Machine Learning vs Statistics: The Key Difference
Following are the various points of distinction between both the fields.
Definition
Machine learning is a set of actions or rules that the machine understands and trains on its own after provided by the user. On the other hand, Statistics is a mathematical topic. It involves identifying trends in data.
Usage
We use ML to identify existing material or forecast future events. Whereas, Statistics help in understanding the connection between the data points.
Types
There are two different types of Machine Learning. They are;
- Supervised Learning
- Unsupervised Learning
Whereas, The types of Statistics are;
- Regression
- Classification
- Forecasting Continuous Variables
Applications
This is another point of Machine Learning vs Statistics. Generally, the applications of Machine Learning are;
- Image Recognition
- Traffic Prediction
- Self-driving cars
- Online Fraud Detection
- Automatic Language Translation, etc.
On the other hand, the application of Statistics are;
- Finance
- Accounting
- Marketing
- Business
- Weather Forecasting, etc.
Types Of Data
Machine learning comes with a variety of tools. These are the most essential tools, capable of learning from trillions of data points. Also, we use online learning tools to estimate the data.
On the other hand, Statistics models have smaller datasets with fewer features. Therefore, the task of using statistics to analyze a large amount of data is immensely difficult.
Industries
This is another point of Machine Learning vs Statistics. Today, almost every sector uses Statistics. We are not able to get outcomes from the data without statistics. Therefore, Statistics is now essential in a variety of industries. For example, eCommerce, trade, psychology, chemistry, etc.
On the other hand, Machine learning is the result of the progress of computers and technology. The way we live has changed as a result of machine learning. Therefore, there are various sectors that use Machine Learning. For example,
- Google’s self-driving cars use machine learning. Also, one of the best instances of machine learning technology is Netflix. Netflix uses machine learning to modify content for its users.
- Moreover, ML studies human behavior before giving the most relevant information to the consumer. It is also useful for detecting fraud and assuring brand safety on all platforms.
- Because data is increasing at a rapid rate, machine learning is becoming more popular. However, it allows us to examine large amounts of data in less time and at a lower cost. Also, it allows us to develop models that are capable of understanding huge amounts of data. And provide faster solutions on a big scale.
Final Words
However, we have discussed Machine Learning vs Statistics. Also, we have gone through the essential information about both fields. The above points show the key distinction between them. To sum up, we can say that they are different from each other. But, keep in mind that machine learning is useless without statistics. Therefore, I hope you understand the difference well. Now, you can be able to draw an accurate comparison between statistics and machine learning.
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