
Machine Learning
Improve your business processes by harnessing the power of Machine Learning.
(1). Machine Learning Life Cycle
○ Business Understanding:
- Define Business Objectives
- Resources, risks and cost-benefit analysis
○ Data Understanding:
- Identifying sources of data
- Defining Analytics use cases to be solved
- Data Quality Checks
○ Data Preparation:
- Data Cleansing
- Variable Selection
- Feature Generation

○ Modeling:
- Algorithm Selection
- Model Training and Tuning
○ Evaluation:
- Model Evaluation and Comparison
- Final Model Evaluation
○ Deployment:
- Model Deployment and Maintenance
(2). Machine Learning common use cases in Business to Solve Problems and Deliver Tangible Business Benefits
- Real-time chatbot systems
- Self Driving cars
- Customer recommendation engines
- Customer churn modeling
- Medical Diagnosis
- Dynamic or demand pricing strategies
- Customer segmentation and market research
- Fraud detection
- Image classification and image recognition
- Operational efficiencies
- Data extraction
- Stock market trading
- Virtual personal assistant
- Email Spam and malware filtering
