Lesson 6.1 – Introduction to Machine Learning in Business | Applications & Types

🤖 What is Machine Learning?

Machine Learning is a subset of Artificial Intelligence (AI) that focuses on building algorithms that learn from data without being explicitly programmed. Instead of writing fixed rules, ML systems identify patterns and improve automatically as they are exposed to more data.

• ✔ Learns from historical data
• ✔ Makes predictions on new data
• ✔ Improves over time with more examples

💼 Why Does ML Matter for Business?

Businesses today generate enormous amounts of data. Machine learning helps turn this data into actionable insights. From predicting customer behavior to optimizing supply chains, ML enables smarter, faster, and more accurate decision-making.

• ✔ Improves customer experience through personalization
• ✔ Reduces operational costs with process automation
• ✔ Detects fraud and anomalies in real time
• ✔ Helps in forecasting demand and inventory needs

🌍 Applications of Machine Learning in Business

📚 Types of Machine Learning

• Supervised Learning: Uses labeled data for predictions (e.g., sales forecasting).
• Unsupervised Learning: Finds hidden patterns in unlabeled data (e.g., customer segmentation).
• Reinforcement Learning: Learns through trial and error (e.g., dynamic pricing, robotics).