Courses on a specific date with a live lecturer

Term

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Place

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Price without VAT

Open term

Language

Place

Praha

Form

classroom

Code of the course: KT21110289-0003

Price without VAT

4 990 Kč

Order

Open term

Language

Place

Praha

Form

classroom

Code of the course: KT21110289-0004

Price without VAT

4 990 Kč

Order

Course description

We will build on the basic knowledge of machine learning principles on the level of our course Introduction to machine learning. We will pay special attention to the topic of machine learning model interpretability and explainability.

Required knowledge

basic knowledge of programing in Python
high school level of mathematics
Basics of machine learning on the level of our course Introduction to machine Learning

Course content

Neural network architectures (feed-forward, recurrent, convolutional, generative, autoencoders, Unet, GAN, attention layer)
Optimizers and their evolution (Steepest Gradient Descent, Stochastic Gradient Descent, Mini-Batch Gradient Descent, Nesterov Accelerated Gradient, Adagrad, AdaDelta, Adam, Learning rate tuning)
Loss functions and their properties (Mean squared error, Mean absolute error, Negative, Log Likelihood – cross entropy)
Regularization in Neural Networks (Dropout, Early stopping, Data augmentation, Batch and layer normalization)
Initialization (Gradient vanishing problem, Zero initialization, He initialization, Xavier initialization)
Semi-supervised learning (Pseudo Labeling, Mean-Teacher, PI-Model)
Practical examples of semi-supervised techniques applications
Confidence estimation (Logit analysis, Confidence networks)
Practical examples of confidence estimation
AutoML approaches (Hyper-parameter optimization, grid search, Bayesian optimization, Meta-Learning, Neural network search)
Practical examples with the AutoKeras
ML Explainability (Interpretable models, Partial Dependence Plot, Permutation feature importance, Surrogate models, Activation Maximization, Grad CAM)

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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