Implementing ML in a startup involves several steps:
1. Data Collection: Gather relevant data that can be used to train ML models. 2. Choose the Right Algorithm: Select an algorithm that fits your business needs. 3. Model Training: Train the model using your data and fine-tune it for better accuracy. 4. Integration: Integrate the ML model into your business processes. 5. Continuous Improvement: Regularly update the model with new data to improve its performance.