Get started with machine learning and understand how to apply AI solutions to real-world problems. Learn the fundamentals of ML algorithms, data preprocessing, and model evaluation.
What you’ll learn
After this course you’ll be able to
- Understand machine learning concepts and terminology
- Work with different types of ML algorithms (supervised, unsupervised)
- Preprocess and clean data for ML models
- Build and train models using popular frameworks
- Evaluate model performance and avoid overfitting
- Apply feature engineering techniques
- Use cross-validation and hyperparameter tuning
- Deploy ML models to production
- Understand ethical considerations in ML
- Work with real datasets and case studies
- Choose appropriate algorithms for different problems
Audience
Developers, Data analysts, Product managers
Prerequisites
- Basic programming knowledge (Python recommended)
- Understanding of statistics and mathematics
- Some experience with data analysis
Pricing
2 day Machine Learning training 1800,-
About the trainer
Emile has 25+ years of experience building software and leading teams — from co-founding and running Leaplines as CTO to shipping for HEMA, Europol and Sony Ericsson. His teams ran GraphQL in production for years, powering high-performing, declarative APIs for clients such as Hudson's Bay, Bijenkorf, Action and Suitsupply.