• 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

Before machine learning was acceptable globally, multinational tech companies like Google, Facebook and Amazon used machine learning secretly. Google with the help of machine learning took care of ad placement whereas Facebook with the help of machine learning showed post feeds according to their convenience. Amazon showed recommendations in the e-commerce website which impacted the clicks of the user. For example, if the user purchased a shoe recently then Amazon used this information to show recommendations for other shoes of the same shape and structure to entice the user for further exploration.
Though machine learning has undergone modifications from very recently, but is now also the centre of an important topic for debate - Is machine learning the end of privacy for the human race? What else can machine learning do other than driving cars automatically and communication? Is machine learning harmful to mankind?  These are some questions that researchers and IT professionals debate when the topic of machine learning training comes up.  Since machine learning training happens to be the future of evolution there are certain misconceptions that surround it. This article will provide a quick view of several misconceptions that have taken a hold over the time.

Machine learning only means generating compact data

Most of the people have a common misconception that machine learning only means summarising data. What they fail to realize is that the main function of machine learning is to predict the future. For example, if a user has watched some movies in the past then with the help of machine learning the system would able to tell the user what are the types of movies that the user wants to watch next.

Algorithms in machine learning are there just to discover the relationship between events

The media has presented just one side of AI to the minds of the people. What people watch is what they believe in. The media has played an important role in making people believe machine learning algorithms is only used for discovering relationship but in reality, they are used to discover knowledge.

Machine learning is useless when it comes to relationships

Most of the people believe that machine learning is only helpful in identifying correlations but when it comes to a causal relationship, it serves as a complete failure. This view is completely faulty as the machine can look at the entire data and derive relationship from the past data to the current one.

Machine learning is not helpful when it comes to unseen events

Most of the people think that machine learning is unable to predict unseen events which are commonly known as “Black Swan” events.  In reality, machine learning is designed to predict events with high accuracy.

More data in machine learning leads to hallucinating patterns

For example, consider an example where NASA checks their records and accidentally matches an innocent to their terrorist identification rule. These “hallucinating patterns” are made because more mining is done with people sharing same entities and attributes. In reality, machine learning keeps hallucinating at a very low rate.

There is no space for pre-existing knowledge in machine learning

Many IT professionals feel that machine learning has a blank state meaning that it only derives knowledge from the algorithms. According to these professionals, real reasoning power can only be derived from past experimentation and reasoning. In reality, all algorithms in machine learning do not have blank state and some user data is required to modify the systems knowledge.

Complex models are not accurate

This means that many people think that simple infrastructure of machine learning tends to be more accurate. This view is completely untrue because a simple infrastructure can come with a complex data and the complex model can come with the simplest of data which is very easy to understand.

Face value determines the patterns

Consider a user making the search for a mole in their skin, then there can be results saying that a tumor which can lead to cancer. This view is completely wrong as the slight change in data could modify the patterns, for example, if the user now searches for mole with a red patch which would only tell that it is just a simple mole and there is no reason to worry about.

Machine learning will be as same as human intelligence

Yes, machine learning can modify from day to day basis but it can never arise in level with human intelligence because humans are the ones who have designed machine language. Scientist and the IT professionals who deal with them on regular basis know their Importance.

Models are incompressible

This means that some of the models which have machine learning implemented in them may not have a trustworthy recommendation and some may have a trustworthy recommendation.  This misconception can be better be understood by people who have studied machine learning in India like Balaram Ravindran and Bidyut Baran Chaudhuri.  Machine learning in India is not a popular concept but one of the major cities that famous for it is Bengaluru.

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