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
