• Post Graduate Program in Banking and Credit Underwriting
    4.7 out of 5 by 1376 learners
    12 X industry demand
  • Post Graduate Program In Finance And Accounting
    Co-created with Grant Thornton
    4.9 out of 5 by 238 learners
    14 X industry demand
  • Post Graduate Program in Analytics and Artificial Intelligence
    Co-created with Coding Ninjas
    4.8 out of 5 by 4610 learners
    12 X industry demand
  • Professional Certification in FinTech
    Co-created with SP Jain School of Global Management
    4.6 out of 5 by 1250 learners
    6X industry demand
  • Credit Risk and Underwriting Prodegree
    Co-created with Moody’s Analytics
    4.5 out of 5 by 526 learners
    4X industry demand
  • Banking And Wealth Management Bootcamp
    4.7 out of 5 by 460 learners
    3X industry demand
  • Post Graduate Program In Capital Markets
    4.7 out of 5 by 807 learners
    3X industry demand
  • Certified Investment Banking Operations Professional
    4.8 out of 5 by 7600 learners
    8X indsutry demand
  • Machine Learning and Deep Learning Prodegree
    Co-created with IBM
    4.7 out of 5 by 2750 learners
    32 X industry demand
  • Post Graduate Program In Data Analytics
    4.7 out of 5 by 3600 learners
    14 X industry demand

Machine learning is the application of Artificial Intelligence (AI) that enables systems to learn automatically and improve from experience without being programmed directly. Its main focus is on the development of programs that access data and use the same for self-improvement.

The machine learning process starts with observing data to look for similar patterns in any form and make better decisions in the future based on these trends. The main aim is to enable the computers to learn automatically and adjust actions accordingly without human intervention or assistance.

Data mining and predictive modeling involve similar processes as machine learning. Both these methods involve searching through data to look for patterns and then adjusting the program actions according to those patterns.

A common example of machine learning for people is shopping on the internet and being served ads related to it. This happens because online ad delivery is personalized almost in real-time by recommendation engines using machine learning.

Along with personalized marketing; detection of fraud, spam filtering, network security threat detection, predictive maintenance, and building news feeds are other common machine learning use cases.

Some machine learning methods
Machine learning algorithms are often categorized as supervised or unsupervised.

  • Supervised machine learning algorithms can apply past learnings to new data with the use of labeled examples to predict future events. It starts with the analysis of a known training dataset based on which the learning algorithm produces an inferred function to make predictions about the output values.

    Targets are provided by the system for any new input after sufficient training. The learning algorithm can also compare its output with the correct, intended output and find errors in order to modify the model accordingly.

  • Unsupervised machine learning algorithms – These types of algorithms are used when the information used to train is neither classified nor labeled. Unsupervised machine learning enables you to understand how systems can infer a function to describe a hidden structure from unlabeled data. The output given by the system is not right, but it explores the data and can draw conclusions from datasets to describe hidden structures from unlabeled data.
  • Semi-supervised machine learning algorithms have qualities of both supervised and unsupervised learning since they use both labeled and unlabeled data for training. Mostly, these algorithms use a small amount of labeled data and a large amount of unlabeled data. Learning accuracy is considerably improves in systems using this method.

    When the acquired labeled data requires skilled and relevant resources in order to train it or learn from it, semi-supervised machine learning is used. Otherwise, additional resources are generally not required for acquiring unlabeled data.

  • Reinforcement machine learning algorithms is a learning method that collaborated with its environment by delivering actions and finds errors or rewards. The most pertinent characteristics of reinforcement learning are trial and error search and delayed reward.

    Machines and software agents can automatically determine the ideal behavior within a particular context in order to maximize their performance using this method of machine learning. Simple reward feedback is required for the software specialist to learn which action is best and is known as the reinforcement signal.

Large quantities of data can be analyzed using machine learning. It identifies profitable opportunities or dangerous risks by delivering faster, more accurate results; however, it may also require additional time and resources to train it properly.

Large volumes of information can be processed more effectively if machine learning is combined with AI and cognitive technologies.

For example, Facebook’s News Feed customizes each user’s feed with the help of machine learning. If a user frequently likes or shows any activity on a particular friend’s posts, the News Feed will start to show more of that friend’s activity earlier in the user’s feed.

At the backend, the software is simply using statistical analysis and predictive analytics to identify patterns in the user’s data and use those patterns to populate his/her News Feed. If the user no longer shows interest to read, like, or comment on the friend’s posts, that new data will be included in the dataset and the News Feed will update accordingly.

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
  • Post Graduate
    Post Graduate Program in Banking and Credit Underwriting
    Course duration(6)
    Upcoming batches
    1
    Organizations enrolled
    20
    4.7 out of 5 by 1376 learners
    12 X industry demand
    Upcoming Batches
    Date Location Schedule
    Not Available MUMBAI Online
    Date Location Schedule
  • Post Graduate
    Post Graduate Program In Finance And Accounting
    Co-created with Grant Thornton
    Course duration(months)
    4
    Upcoming batches
    1
    Organizations enrolled
    20
    4.9 out of 5 by 238 learners
    14 X industry demand
    Upcoming Batches
    Date Location Schedule
    None DELHI Online
    Date Location Schedule
  • POST GRADUATE PROGRAM
    Post Graduate Program in Analytics and Artificial Intelligence
    Co-created with Coding Ninjas
    Course duration(Weeks)
    28
    Upcoming batches
    5
    Organizations enrolled
    20
    4.8 out of 5 by 4610 learners
    12 X industry demand
    Upcoming Batches
    Date Location Schedule
    8th August MUMBAI Weekend
    22nd August BANGALORE-MARATHAHALLI Weekend
    29th August ONLINE Weekend
    Date Location Schedule
    9th August THANE Weekend
    22nd August THANE Weekend
  • Prodegree
    Professional Certification in FinTech
    Co-created with SP Jain School of Global Management
    Course duration(Months)
    4
    Upcoming batches
    1
    Organizations enrolled
    20
    4.6 out of 5 by 1250 learners
    6X industry demand
    Upcoming Batches
    Date Location Schedule
    none ONLINE Online
    Date Location Schedule
  • PRODEGREE
    Credit Risk and Underwriting Prodegree
    Co-created with Moody’s Analytics
    Course duration(Months)
    3
    Upcoming batches
    1
    Organizations enrolled
    20
    4.5 out of 5 by 526 learners
    4X industry demand
    Upcoming Batches
    Date Location Schedule
    30th-May ONLINE Weekend
    Date Location Schedule
  • Certification
    Banking And Wealth Management Bootcamp
    Course duration(Months)
    2-3
    Upcoming batches
    1
    Organizations enrolled
    20
    4.7 out of 5 by 460 learners
    3X industry demand
    Upcoming Batches
    Date Location Schedule
    Not Available ONLINE Weekend
    Date Location Schedule
  • Post Graduation
    Post Graduate Program In Capital Markets
    Course duration(months)
    4
    Upcoming batches
    1
    Organizations enrolled
    20
    4.7 out of 5 by 807 learners
    3X industry demand
    Upcoming Batches
    Date Location Schedule
    Not Available ONLINE Online
    Date Location Schedule
  • Certification
    Certified Investment Banking Operations Professional
    Course duration(Months)
    2-3
    Upcoming batches
    16
    Organizations enrolled
    20
    4.8 out of 5 by 7600 learners
    8X indsutry demand
    Upcoming Batches
    Date Location Schedule
    4th July PUNE Weekend
    16th July BANGALORE-KORAMANGALA Weekday
    21st July HYDERABAD Weekday
    1st August MUMBAI Weekend
    7th August THANE Weekday
    8th August MUMBAI Weekend
    14th August BANGALORE-KORAMANGALA Weekday
    22nd August DELHI Weekend
    Date Location Schedule
    16th July MUMBAI Weekday
    17th July MUMBAI Weekday
    28th July THANE Weekday
    7th August MUMBAI Weekday
    8th August THANE Weekend
    8th August BANGALORE-KORAMANGALA Weekend
    14th August HYDERABAD Weekday
    29th August BANGALORE-KORAMANGALA Weekend
  • Prodegree
    Machine Learning and Deep Learning Prodegree
    Co-created with IBM
    Course duration(Months)
    4
    Upcoming batches
    1
    Organizations enrolled
    20
    4.7 out of 5 by 2750 learners
    32 X industry demand
    Upcoming Batches
    Date Location Schedule
    25th July HYDERABAD Weekend
    Date Location Schedule
  • Post Graduation
    Post Graduate Program In Data Analytics
    Course duration(Months)
    5
    Upcoming batches
    8
    Organizations enrolled
    20
    4.7 out of 5 by 3600 learners
    14 X industry demand
    Upcoming Batches
    Date Location Schedule
    14th August THANE Weekday
    16th August PUNE Weekday
    28th July PUNE Weekday
    17th August HYDERABAD Weekday
    Date Location Schedule
    14 August PUNE Weekday
    28th July DELHI Weekday
    17th August BANGALORE-KORAMANGALA Weekday
    14th August HYDERABAD Weekday