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Course description

The goal is to introduce possibilities of machine learning applications in industry and information technologies. Another goal is to prepare tech leads and C-level managers to make competent decisions while implementing exponential technologies.

Required knowledge

none

Course content

What is machine learning and artificial intelligence
- Difference between artificial intelligence and machine learning
- High-level basics of machine learning
- Most important machine learning tasks
- What cannot be solved by machine learning
Data driven company
- Importance of data
- Intuition vs. data
- Exponential advantage
- Bridge between managers and developers
Machine learning metrics and interpretability
- Training vs. test data sets
- Accuracy, precision, recall, RMSE, MAE, R-Square
- Data outliers
- Data imbalance
- Confidence of ML models
- Explainability of machine learning decisions
A/B testing and understanding its results
- Traditional A/B testing
- Multi-armed bandits for optimization
- Simultaneous A/B testing of multiple features
- Confidence intervals
Ethics, safety and security
Machine learning practical use cases
- Text (classification, sentiment analysis, summarization, reasoning, chat bots)
- Images and video (classification, segmentation, superresolution, denoising)
- Recommendation systems and sorting
- Time series predictions (machine trading, e-commerce)
- Anomaly detection

Lecturers

Jiří Materna

He is a machine learning specialist with experience in its applications in industry since 2007. Between 2008 and 2017, he worked at Seznam.cz, of which the last 7 years as head of the research department. He now works as a freelancer, offers the development of custom machine learning solutions, organizes the Machine Learning Prague conference and writes the ML Guru blog.

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News with the course

Machine Learning 18. 3. 2023

The differences between Machine learning and Artificiant inteligence

Machine learning (ML) and Artificial intelligence (AI) are related fields, but they are not the same thing. AI is a broader field that encompasses many different technologies, including machine learning. Check with us the key differences between machine learning and artificial intelligence.

Machine Learning 3. 6. 2021

Discover the benefits of Machine Learning

Machine Learning allows companies to be efficient, search for patterns in data, automate and make decisions with minimal human intervention. Learned algorithms solve defined tasks in real time and based on input data. At the same time, they learn from the new data and adapt to changing conditions.

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