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AI Skills: Basic and Advanced Techniques in Machine Learning
Professional Certificate programs are series of courses designed by industry leaders and top universities to build and enhance critical professional skills needed to succeed in todays most in-demand fields.
Free
This Course Includes
edx
0 (0 reviews )
3 months at 5 - 7 hours per week
english
Online - Self Paced
professional certificate
Delft University of Technology
About AI Skills: Basic and Advanced Techniques in Machine Learning
DelftX's AI Skills: Basic and Advanced Techniques in Machine Learning Professional Certificate
AI skills for Engineers: Supervised Machine Learning
AI skills: Introduction to Unsupervised, Deep and Reinforcement Learning
What You Will Learn?
- Apply common operations (pre-processing, plotting, etc.) to datasets using Python..
- Explain the concept of supervised, semi-supervised, unsupervised machine learning and reinforcement learning..
- Explain how various supervised learning models work and recognize their limitations..
- Analyze which factors impact the performance of learning algorithms..
- Apply learning algorithms to datasets using Python and Scikit-learn and evaluate their performance..
- Optimize a machine learning pipeline using Python and Scikit-learn..
- Describe the main classes of clustering techniques..
- Implement k-means and hierarchical clustering..
- Motivate the need and choice of dimensionality reduction techniques..
- Implement Principal Component Analysis (PCA) for feature extraction..
- Explain how deep neural networks work and their advantages..
- Train deep neural networks for classification and regression tasks..
- Explain the basic concepts and techniques of reinforcement learning..
- Describe how reinforcement learning could be applied in real world applications..