What is the difference between statistics and machine learning?
Asked by Sujeet Last Modified
Follow 2 
Answer 
TL;DR: Machine Learning is about learning (from data) to predict or act in the real world as accurately as possible, while statistics has developed as a tool for inferring and validating truths about the world.
0
Comments
The purpose of statistics is to make an inference about a population based on a sample. Machine learning is used to make repeatable predictions by finding patterns within data.
0
Comments
The purpose of statistics is to make an inference about a population based on a sample. Machine learning is used to make repeatable predictions by finding patterns within data.
0
Comments
The purpose of statistics is to make an inference about a population based on a sample. Machine learning is used to make repeatable predictions by finding patterns within data.
0
Comments
View 2 more Answers
Related Questions
What is cost of machine learning training online? 
If you ask me, It will depend on how much background you have. If you are already familiar with ML, then for 3 hands-on projects from scratch (python or MatLab) in application with speech processing, image...
7 Is it possible to do Machine learning course after B.com and MBA Finance and marketing? Has it got fresher job opportunities?
Hi, Priya you may go for machine courses after B.com or MBA, and as per your field, you can learn the software related to Accounts.
What's the difference between Machine Learning and AI?
Put in context, artificial intelligence refers to the general ability of computers to emulate human thought and perform tasks in real-world environments, while machine learning refers to the technologies...
Is that possible to do machine learning course after b.com,mbaFinance and marketing?
Yes, you can. But as we know very well machine learning needs some programming fundamentals as well. So you have to go through a little touch up of programming and algorithms.
Now ask question in any of the 1000+ Categories, and get Answers from Tutors and Trainers on UrbanPro.com
Ask a QuestionRelated Lessons
Python programming - Applications
If you’re thinking of learning Python? Or if you recently started learning it? You may be asking yourself: "What exactly can I use Python for?" There are so many applications for python, but there...
Market Basket Analysis
Market Basket Analysis (MBA): Market Basket Analysis (MBA), also known as affinity analysis, is a technique to identify items likely to be purchased together. The introduction of electronic point of sale...
Tuning Parameters Of Decision Tree Models
Implementations of the decision tree algorithm usually provide a collection of parameters for tuning how the tree is built. The defaults in Rattle often provide a basically good tree. They are certainly...
Learn the secret of mastering machine learning fast.
There are many ways to master machine learning but let me give you the secret of doing it fast. The general technique for mastering machine learning is learning Python or R first. This is not the right...
Regularisation in Machine Learning
Regularization In Machine Learning, Regularization is the concept of shrinking or regularizing the coefficients towards zero. It helps the model to prevent overfitting. Overfitting in Machine Learning...
Find Machine Learning near you
Looking for Machine Learning ?
Learn from the Best Tutors on UrbanPro
Are you a Tutor or Training Institute?
Join UrbanPro Today to find students near you
