• POST GRADUATE DIPLOMA IN MANAGEMENT
    Co-created with BIMTECH
    4.8 out of 6071 learners
    2x industry demand
  • PROFESSIONAL CERTIFICATION IN SUPPLY CHAIN MANAGEMENT AND ANALYTICS
    Co-created with IIT Roorkee
    4.8 out of 5 by 469 learners
    4x
  • CERTIFICATION IN ARTIFICIAL INTELLIGENCE and MACHINE LEARNING
    Co-created with E&ICT Academy, IIT Guwahati
    4.8 out of 5 by 621 learners
    4x industry demand
  • POST GRADUATE PROGRAM IN DATA ANALYTICS and MACHINE LEARNING
    4.8 out of 5 by 3278 learners
    14 X industry demand

Pattern Recognition and Machine Learning are closely related terms in the field of data analysis. The former is a part of Machine Learning and is used as a technique to detect patterns and irregularities in a pool of data.

There is a very thin line between them which will be covered in the following sections. And a simple way to distinguish between them is to understand their individual functions and qualities.

Pattern Recognition vs Machine Learning

Let’s first understand what Machine Learning is? It is basically a concept that allows systems to learn and adapt in a particular way by means of data.

Take the example of how a user behaves with an automatic food recipe machine. If the appliance uses Machine Learning to understand user behavior in a better way, it would ideally take insights from all the past user actions and adapt itself for better functioning.

The primary (and perhaps the only) goal of Machine Learning is to make good guesses. In consumer tech, this is used to automate actions in an application as suggested in the example above. However, Machine Learning has applications across industries (as noted below). This is why there is a growing demand for professionals with relevant skills, which in turn, has resulted in a boom in Machine Learning courses.

What is Pattern Recognition?

It can be seen as an application or subset of Machine Learning (ML). It is basically an element that detects patterns in an ML algorithm. Unlike ML, it uses previous information to refine its findings.

Let’s go back to the appliance example given above. How would the process change if the appliance was already fed with some patterns that the user is assumed to take? This can have a considerable impact on how the appliance is built in the first place. When used, it only has to match the user actions with those already available in its memory. This can improve user experience considerably.

The prediction made on the basis of this pattern recognition on an ML algorithm is essentially called predictive analytics. It is a growing field and one that can be further studied as part of Machine Learning training programs.

Moreover, there are some features that make Pattern recognition a great addition to the world of ML. Some of them are listed below.

  • It can detect familiar patterns and known issues accurately. (This function is extremely helpful in hi-tech to detect online fraud)
  • Classification of patterns
  • Continuous learning as more streams of data is analyzed and processed.

Overall, Pattern recognition acts as an improvement in ML algorithms as it aids in making certain tasks easier. This is why it is heavily utilized across applications in the fields of image processing, biometrics, seismic analysis, and speed recognition.

A very fine example of the use of Pattern recognition is in the field of DNA testing. It can aid the scientific community in detecting DNA sequences with more accuracy and a low error rate. This is advantageous in forensics as well where accuracy is extremely critical.

To conclude, the thin line between Pattern Recognition and Machine Learning is in their functions within an algorithm. While ML is the main method used to process data and influence outcomes, Pattern recognition acts as a helping hand.

One of the best ways to learn more about the differences between the two is to undergo Machine Learning training. Students and professionals can take advantage of online courses available in this field and make good use of the ample free time available during this lockdown period.

For Online Course Enquiries
About Imarticus
Imarticus Learning is India’s leading professional education institute that offers training in Financial Services, Data Analytics & Technology. We’ve successfully transformed careers of over 35,000+ individuals globally through our Certification, Prodegree, and Post Graduate programs offered in association with leading and renowned global organisations in the Financial Services, Data Analytics & Technology domain.
Related course
  • Finance
    POST GRADUATE DIPLOMA IN MANAGEMENT
    Co-created with BIMTECH
    Course duration(Months)
    24
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 6071 learners
    2x industry demand
    Upcoming Batches
    Date Location Schedule
    Live Instructor - Led Training Online
    Date Location Schedule
  • Analytics
    PROFESSIONAL CERTIFICATION IN SUPPLY CHAIN MANAGEMENT AND ANALYTICS
    Co-created with IIT Roorkee
    Course duration()
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 5 by 469 learners
    4x
    Upcoming Batches
    Date Location Schedule
    21st November ONLINE Online
    Date Location Schedule
  • Placement Assistance
    CERTIFICATION IN ARTIFICIAL INTELLIGENCE and MACHINE LEARNING
    Co-created with E&ICT Academy, IIT Guwahati
    Course duration(Months)
    8
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 5 by 621 learners
    4x industry demand
    Upcoming Batches
    Date Location Schedule
    23rd October ONLINE Online
    Date Location Schedule
  • Post Graduation
    POST GRADUATE PROGRAM IN DATA ANALYTICS and MACHINE LEARNING
    Course duration(Months)
    5
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 5 by 3278 learners
    14 X industry demand
    Upcoming Batches
    Date Location Schedule
    30th October CHENNAI Weekend
    Date Location Schedule