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Wednesday, December 1, 2021
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    What is Machine Learning?

    Do you know how to make a bitcoin price predictor?

    Well, Machine learning is all you need to learn.

    Machine learning is a part of artificial intelligence which is the study of computer algorithms. It allows the software applications to become more accurate. ML (Machine learning) uses historical data as input to predict new output values.

    Machine learning is an important component of the growing field of data science. As the future is assumed to be all about artificial intelligence and its applications, the market demand for data scientists will increase.

    Applications of machine learning:

    • Self-driving cars
    • Speech recognition
    • Virtual personal assistant
    • Spam detection 
    • Stock price predictions
    • Traffic prediction

    Machine learning allows the user to feed a computer algorithm to save a huge amount of data and have the computer analyze and make data-driven recommendations and decisions based on only the input data.

    Machine learning is important because of its wide range of applications and it is easy to adapt. We can get solutions to complex problems efficiently and effectively.

    Generally, there are three types of machine learning. 

    They have supervised learning, unsupervised learning, and reinforcement learning. 

    List of some of the common machine learning algorithms:

    • kNN
    • K-Means
    • SVM
    • Decision tree
    • Naive Bayes
    • Linear regression

    While data acquisition, time, resources, high error susceptibility are some of the drawbacks of Machine Learning, the number of advantages is far more than the disadvantages.

    We can say machine learning is a powerful tool, which used properly can make miracles happen.  

    ALSO READ:   The Intersection of Technology and Human Resources

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