Course Outline
Foundations of Applied Machine Learning
- Distinguishing between statistical learning and Machine learning
- Iterative processes and evaluation strategies
- Understanding the Bias-Variance trade-off
Paradigms of Learning: Supervised and Unsupervised
- Machine Learning languages, types, and illustrative examples
- Comparing Supervised vs. Unsupervised Learning
Supervised Learning Techniques
- Decision Trees
- Random Forests
- Strategies for Model Evaluation
Implementing Machine Learning in Python
- Selecting appropriate libraries
- Utilizing supplementary add-on tools
Regression Analysis
- Linear regression principles
- Exploring generalizations and Nonlinearity
- Practical Exercises
Classification Methods
- Refresher on Bayesian concepts
- Naive Bayes algorithm
- Logistic regression
- K-Nearest neighbors
- Practical Exercises
Model Validation: Cross-validation and Resampling
- Various Cross-validation approaches
- Bootstrap techniques
- Practical Exercises
Unsupervised Learning Applications
- K-means clustering
- Case studies
- Challenges in unsupervised learning and methods beyond K-means
Neural Networks
- Understanding layers and nodes
- Python libraries for neural networks
- Implementation with scikit-learn
- Implementation with PyBrain
- Introduction to Deep Learning
Requirements
Proficiency in the Python programming language is required. A basic understanding of statistics and linear algebra is also recommended.
Testimonials (7)
Interesting knowledge
Gabriel - MINDEF
Course - Machine Learning with Python – 4 Days
The trainer was a practitioner with a lot of experience and had a very good knowledge of the material.
Witold Iwaniec - City of Calgary
Course - Machine Learning with Python – 4 Days
The trainer because he could handle almost every subject and situation.
Florin Babes - eMAG IT RESEARCH SRL
Course - Machine Learning with Python – 4 Days
The manner in which the trainer explained the concepts, his positive and welcoming attitude and the real-world examples provided for each exercise.
Ovidiu Calita - eMAG IT RESEARCH SRL
Course - Machine Learning with Python – 4 Days
Very good training session with nice documentation and exercises and Kristian did it like a professional he is.
Adrian Boulescu - eMAG IT RESEARCH SRL
Course - Machine Learning with Python – 4 Days
I like that he is very skilled and has lots of knowledge in his domain.
dan dumitriu - eMAG IT RESEARCH SRL
Course - Machine Learning with Python – 4 Days
rich documentation and many resources as course support, as well as resources for the post-course learning process
