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Machine Learning?

  • 1.  Machine Learning?

    Posted Thu July 26, 2018 10:06 AM
    I find that there is very little difference between the terms "statistics" and "machine learning" these days.  Do you use them interchangeably or draw a distinction?


  • 2.  RE: Machine Learning?

    Posted Fri July 27, 2018 10:54 AM
    I certainly think of Machine Learning as based on Statistics but I don't think of them autonomously.  I can't really talk of ML without Statistics being a part, but I can take a Statistics class without ever hearing or talking about ML.

    Tim Bohn

  • 3.  RE: Machine Learning?

    Posted Fri July 27, 2018 11:44 AM
    If Statistics is theory, Machine Learning is a practical implementation of it in Research / Business.

    Rathish Poovadan

  • 4.  RE: Machine Learning?

    Posted Fri August 03, 2018 11:13 AM
    A amusing comparison by author Robert Tibshirani "Elements Of Statistical Learning".

    Ankit Jha

  • 5.  RE: Machine Learning?

    Posted Thu September 13, 2018 01:03 PM
    I need more experience in the field to be able to provide a personal--solid--definition, but I would say that I personally would draw a line in between ML and Statistics. While statistics is fundamental for ML, Machine Learning requires different branches from Mathematics than just a single branch (statistics). Otherwise, we'll miss out on multiple important aspects of Machine Learning.

    Enmanuel Marte Pujols

  • 6.  RE: Machine Learning?

    Posted Mon December 10, 2018 02:27 AM
    Edited by swapnali kadu Wed January 02, 2019 02:07 AM

    Data Science is rather a blanket term. It is the science of data analysis, data mining, machine learning and a lot more but let's just stick to this much information for the sake of the question.

    Machine learning is a field of Big Data Science that studies, develops and implements algorithms and programs that are capable of self-learning. These algorithms once designed can go on learning new concepts and ideas without human intervention. They get better with time. These algorithms use the principles of data mining (again, it's a field of Data Science) to learn more and evolve. They are just automated to mine data based on patterns, trends and many other factors involved.

    Now that we are clear with the differences, it can be said that Machine learning is a part of Data Science. It is more than a technique. So, it is better to say that Machine Learning is done using Data Science rather than saying it the other way around.

    swapnali kadu

  • 7.  RE: Machine Learning?

    Posted Tue December 11, 2018 02:20 AM
    Bravo ! Simplicity is the ultimate sophistication.

    Henri Ajenstat

  • 8.  RE: Machine Learning?

    Posted Thu February 07, 2019 05:06 AM
    Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.

    rajesh kumar

  • 9.  RE: Machine Learning?

    Posted Thu March 07, 2019 03:35 AM
    It is very good question as normally people think Machine Learning and Statistics are the same by going through their definition. Yes they have the similar type of functionality and objective but the difference is how it works. Machine Learning uses the same algorithm and techniques as Statistics but it is not exactly the same. 

    • Statistic may be defined as the study of collection , analysis, presentation ,organizing of Data  whereas Machine Learning gives the ability to Computers to learn with the help of programmed through an explicit way.

    • When we apply Statistics to a problem , the process usually begins with decision of Statistical model but in case of ML the process of begin with the study and construction of algorithm that helps user to learn and predict of Data.
    In today's world it is very much better to have knowledge of machine Learning . Yes both Statistics and Machine Learning are included for the Course of Data Science but Statistics is somehow like an outdated trend though it has lots of importance.

    Raj Shivakoti

  • 10.  RE: Machine Learning?

    Posted Mon May 06, 2019 09:42 AM
    There is a lot of interrelation between the two but I think we can't mix them. As machine learning involve a lot of data processing using statistics. Most of the people use them interchangeably which is not technically correct.

    Sam Creator