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Course Outline
Supervised learning: classification and regression
- Machine Learning in Python: an introduction to the scikit-learn API
- linear and logistic regression
- support vector machines
- neural networks
- random forests
- Building an end-to-end supervised learning pipeline with scikit-learn
- managing data files
- imputing missing values
- handling categorical variables
- visualizing data
Python frameworks for AI applications:
- TensorFlow, Theano, Caffe, and Keras
- Scalable AI with Apache Spark MLlib
Advanced neural network architectures
- Convolutional neural networks for image analysis
- Recurrent neural networks for time-series data
- Long short-term memory (LSTM) cells
Unsupervised learning: clustering and anomaly detection
- Implementing principal component analysis using scikit-learn
- Implementing autoencoders in Keras
Practical examples of AI problem-solving (hands-on exercises via Jupyter notebooks), e.g.
- Image analysis
- Forecasting complex financial series, such as stock prices
- Complex pattern recognition
- Natural language processing
- Recommender systems
Understanding the limitations of AI methods: failure modes, costs, and common challenges
- Overfitting
- Bias/variance trade-off
- Bias in observational data
- Neural network poisoning
Applied project work (optional)
Requirements
There are no specific prerequisites required to attend this course.
28 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 5200 € + VAT*
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Testimonials (2)
That it was applying real company data. Trainer had a very good approach by making trainees participate and compete
Jimena Esquivel - Zaklad Uslugowy Hakoman Andrzej Cybulski
Course - Applied AI from Scratch in Python
The trainer was a professional in the subject field and related theory with application excellently
