Machine Learning for Beginners

Description

Machine learning is introduced through business uses across thirteen PDF lessons. They explain the main types of models, then look at applications in marketing and customer insight, fraud detection and risk analysis, and operations and supply chains.

The middle lessons cover data preparation and cleaning, model training and evaluation, and common mistakes, with a step-by-step first project. The closing lessons deal with fitting machine learning into a business strategy, measuring return on investment and drawing up an implementation roadmap. Some lessons include checklists you can print and fill in. The PDFs also contain reference tables that summarise the model types.

Who it is for: professionals without a technical background who want to judge where machine learning could help their business.

What’s included
13 PDF lessons · 73 pages · about 24,000 words
One ZIP download that is yours to keep — read on any device, no subscription or app needed.

Course programme

1. Getting Started with Machine Learning Fundamentals
2. Understanding Different Types of ML Models
3. Business Applications: Marketing and Customer Insights
4. Financial Applications: Fraud Detection and Risk Analysis
5. Operations and Supply Chain Optimization
6. Building Your First ML Project: Step-by-Step Guide
7. Data Preparation and Cleaning Techniques
8. Model Training and Evaluation Methods
9. Common ML Mistakes and How to Avoid Them
10. Implementing ML in Your Business Strategy
11. Measuring ROI and Business Impact
12. Future Trends and Advanced Applications
13. Creating Your ML Implementation Roadmap