Machine Learning – What, Where and How-To

Every company irrespective of it’s size or domain is keen to analyse the patterns of their existing and prospective customers for offering them suitable products/services. With the deluge of huge and ever-increasing data along with multitude of options to reach out to customers, it’s increasingly getting difficult for organizations to improve the lead-quality of their marketing channels. In this talk, I will talk about relatively new (in Industrial sense) but fast growing field of Machine Learning.

My talk will focus on:

  • Machine Learning
    • Concepts
    • Types
      • Supervised – Categorical and Regression
      • Unsupervised
    • Association and differences between Machine Learning, Data Mining and Statistics
  • Popular Use-Cases for applying Machine Learning in our Industry
    • Up-Selling
    • Customer Sentiment Analysis
    • Recommendation Systems
    • Churn Analysis
    • Automated Routing
  • Current Platforms/Tools/API’s available for implementing Machine Learning in an organization
    • Apache Mahout
    • Weka
    • Google Prediction API

I will be presenting these tools with working programs and sample data to present how they can be integrated and used over top of available data-sets in different scenarios.

Take-Aways for Audience

  • Better Understanding of Machine Learning Paradigm and concepts
  • How Machine Learning is currently being utilised in Industry
  • How we can make use of current platforms and tools to take advantage of Machine Learning in our scenarios


Speaker At Java ConferenceNarinder Kumar started his career in IT Industry in 1996. Since then, he has been involved in Software design & development across diverse Industries and different countries. He has worked as Developer, System Administrator, Project/People Manager and is currently an Entrepreneur.Cont…

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