Literatura kursowa z Data & AI

Machine Learning Evaluation

Personalized Machine Learning

Introduction to Machine Learning

The Statistical Physics of Data Assimilation and Machine Learning

Mathematical Aspects of Deep Learning

Control Systems and Reinforcement Learning

Mathematical Methods in Data Science

Search Methods in Artificial Intelligence

Deep Learning Recommender Systems

A Hands-On Introduction to Data Science

Essentials of Pattern Recognition

The Art of Feature Engineering

Sentiment Analysis

Excel Basics to Blackbelt

Data Science for Complex Systems

Mathematics for Machine Learning

Machine Learning for Speaker Recognition

Computational Analysis of Storylines

Computational Approaches to the Network Science of Teams

Data Analysis for Business, Economics, and Policy

Artificial Intelligence for Healthcare

Algorithmic Information Dynamics

The Age of Algorithms

Integrative Bioinformatics for Biomedical Big Data