• 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

An Algorithm is essentially a method or plan for solving a problem, based on following a sequence of specified activities. And an algorithm is something that is used to train a model, all the decisions that a model is supposed to take are based on the input given by the algorithm to produce an expected outcome. Now going further, an analytical model is a statistical model, designed to perform a specific or to predict the probability of a specific event. Now the same is applied to businesses to determine the solution when in quandary. Algorithms are generally used throughout all areas of IT. A simple example would be a search based algorithm, it takes the keyword and searches its associated database for relevance and presents the results. So basically there are a variety of algorithms that can be used for different scenarios, it is usually variable dependent, that is based on a variety of variables, a data scientist can choose which algorithm to use.
It is not recommended that a plug and play of available algorithms are used by the data scientist, as the variables like, the size of data, industry type, its application, could produce results that might not be accurate. Hence a data scientist should train themselves on the most popular and important algorithms.

Awareness of supervised v/s unsupervised learning models

On the subject of algorithms, it is interesting to understand the difference between the two. A supervised learning model is essentially a model with a clear difference between explanatory and dependent variables, which means that the model's outputs are known in advance.
Some examples of these models which are popular would be……

  • Prediction – Linear Regression
  • Classification – Decision Tree
  • Time Series Forecasting

Simply an opposite of this would be the unsupervised learning model, where the model's outputs are unknown, and there is no target characteristics. These models are built with the objective of finding out the fundamental structure of data, for example,

  • Association Rules
  • Cluster Analysis

The top 10 algorithms used by data scientist according to a poll are as follows……

  1. Regression
  2. Clustering
  3. Decision Trees
  4. Visualisation
  5. K-Nearest Neighbours
  6. PCA
  7. Statistics
  8. Random Forests
  9. Time Series / Sequencing
  10. Text Mining

Some new options to the list of most commonly used algorithms which are recently gaining popularity are….

  • Neural Networks – Deep Learning
  • Singular Value Decomposition

You will notice, that most of the popular algorithms are supervised learning algorithms in nature. Unsupervised clustering algorithms can be used to detect a relationship between an organisations data set. Through these algorithms, you can find different types of groupings within a customer base. At times an unsupervised clustering can offer specific advantages when compared to supervised learning models. One obvious example is a way new applications can be observed by studying, how the connections are grouped when a new cluster is formed.
As can be seen, these are only the most popular algorithms, however, here are a host of other machine learning and data mining algorithms available, which can be used to create value to any analytical program. There are specific algorithms that are designed and developed to specifically deal with business challenges. These algorithms can almost assist in doing anything, from recognising faces too, dispensing drinks from a vending machine to reminding you about your meetings.
To learn more about the algorithms join our an online data science course, which you can do anywhere and anytime This program is co-created with Genpact as Knowledge Partner. This program helps you with a deep understanding of Data Analysis and Statistics, along with business perspectives and cutting-edge practices using SAS, R, Python, Hive, Spark, and Tableau.

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
    3rd August 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