Machine Learning

Machine learning is a form of AI that enables a system to learn from data rather than through explicit programming. However, machine learning is not a simple process. As the algorithms ingest training data, it is then possible to produce more precise models based on that data. A machine-learning model is the output generated when you train your machine-learning algorithm with data. After training, when you provide a model with an input, you will be given an output. For example, a predictive algorithm will create a predictive model. Then, when you provide the predictive model with data, you will receive a prediction based on the data that trained the model.

Machine-learning techniques are required to improve the accuracy of predictive models. Depending on the nature of the business problem being addressed, there are different approaches based on the type and volume of the data. In this section, we discuss the categories of machine learning.

  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Deep learning

Machine learning offers potential value to companies trying to leverage big data and helps them better understand subtle changes in behaviour, preferences or customer satisfaction. Business leaders are beginning to appreciate that many things happening within their organizations and industries can’t be understood through a query. It isn’t the questions that you know; it’s the hidden patterns and anomalies buried in the data that can help.

Other Information


At least degree level qualification in related field.

Having 3-5 years experience in similar domain would be advantageous, but not essential.


Based on Hands-on exercises

Comprehensive theoretical and practical understanding

Support for future training progression

Training and certification materia.

Real time project demo & understanding

Interview preparation

Placement assistance

Certification based training

Training Structure

Theoretical and concept building

Practical hands-on exercises

Regular breaks during long sessions

Certification - Optional

Your Responsibilities

Arriving in the class on time

Meeting the class pre-requisites

Completing the practical exercises where required