Machine Learning is the hot-topic nowadays, with new machine learning based applications coming out almost every day now. But not many people understand how these actually work. GDSC PUCIT brings to you this session on machine learning. We'll start from the very basics and go to a intermediate level. We'll also discuss its real world applications. After this event, you'll have enough knowledge to get started building your own machine learning models and use them in real world scenarios.
Following is our agenda for the event
Introduction to Machine Learning
Machine Learning Workflow
- Problem formulation and goal setting
- Data collection and pre-processing
- Feature engineering and selection
- Model selection and training
- Model evaluation and validation
- Hyper-parameter tuning and optimization
- Model deployment and monitoring
Real-world Examples and Applications
- Image and speech recognition
- Natural language processing
- Recommendation systems
- Fraud detection and anomaly detection
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