Udělejte si bezplatný kurz o umělé inteligenci v češtině Elements of AI 👉

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AI enables computers to address problems and carry out tasks previously comprehensible only to humans.
This progress has been made not because computers became smarter; they are still dull-witted machines that are, however, faster and faster with numbers. In any case, we still need to translate real-world situations to the formal (i.e., mathematical, symbolic) language understandable by computers, which has always been one of the main targets for AI research, long before deep learning saw its first successes. In the courses of this compulsory block, these mathematical formulations of real-world tasks related to AI are explained. For example, you will learn how to formulate a job for a bunch of robots as a state-searching problem or exercise formal logic or game theory.
Courses
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Artificial Intelligence I
MFF CUNI (Winter)
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Artificial Intelligence II
MFF CUNI (Summer)
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Introduction to Artificial Intelligence
FEE CTU (Summer)
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Introduction to Artificial Intelligence
FIT CTU (Summer)
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Introduction to Artificial Intelligence
MFF CUNI (Summer)
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Modern Algorithmic Game Theory
MFF CUNI (Winter)
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FEE CTU
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Artificial Intelligence in Robotics
B4M36UIR/BE4M36UIR Winter
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Autonomous Robotics
B3M33ARO1/BE3M33ARO1 Summer
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Computer Vision Methods
B4M33MPV/BE4M33MPV Summer
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Functional Programming
B4B36FUP Summer
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Introduction to Artificial Intelligence
B4B36ZUI Summer
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Julia for optimization and learning
B0B36JUL Winter
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Pattern Recognition and Machine Learning
B4B33RPZ/BE5B33RPZ Winter
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FIT CTU
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FSV CUNI
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MFF CUNI
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Artificial Intelligence I
NAIL069 Winter
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Artificial Intelligence II
NAIL070 Summer
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Deep Learning
NPFL138 Summer
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Deep Reinforcement Learning
NPFL139 Summer
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Dialogue Systems
NPFL123 Summer
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Introduction to Artificial Intelligence
NAIL120 Summer
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Introduction to Machine Learning with Python
NPFL129 Winter
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Large Language Models
NPFL140 Summer
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Modern Algorithmic Game Theory
NOPT021 Winter
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Natural Language Processing
NPFL124 Summer
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