de:modul:m245:learningunits:lu02:theorie:01

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de:modul:m245:learningunits:lu02:theorie:01 [2025/12/18 15:36] – vdemirde:modul:m245:learningunits:lu02:theorie:01 [2025/12/20 12:20] (aktuell) – vdemir
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-====== LU01a - Basics of Machine Learning ======+====== LU02a - Basics of Machine Learning ======
  
 ===== What is Machine Learning? ===== ===== What is Machine Learning? =====
  
 The **father of Machine Learning Arthur Lee Samuel** in 50s defined Machine Learning like this: <wrap hi>Machine Learning is the subfield of Computer Science, that gives computers the ability to learn without being explicitly programmed. </wrap> The **father of Machine Learning Arthur Lee Samuel** in 50s defined Machine Learning like this: <wrap hi>Machine Learning is the subfield of Computer Science, that gives computers the ability to learn without being explicitly programmed. </wrap>
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 Arthur Lee Samuel was an American pioneer in the field of artificial intelligence and computer gaming. Samuel worked for IBM for many years and is credited with creating the first computer program designed to play a game, specifically checkers. He developed the program in the early 1950s, and it was based on a technique called //machine learning//, where the computer was programmed to learn from its own experience and improve its performance over time.  Arthur Lee Samuel was an American pioneer in the field of artificial intelligence and computer gaming. Samuel worked for IBM for many years and is credited with creating the first computer program designed to play a game, specifically checkers. He developed the program in the early 1950s, and it was based on a technique called //machine learning//, where the computer was programmed to learn from its own experience and improve its performance over time. 
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 There are basically three types of algorithms regarding Machine Learning There are basically three types of algorithms regarding Machine Learning
  
-  * Supervised Learning+  * **Supervised Learning** (focus within the course m245)
   * Unsupervised Learning   * Unsupervised Learning
-  * Reinforsment Learning+  * Reinforcement Learning 
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 +{{:de:modul:m245:learningunits:lu02:theorie:machine_learning_types.png?600|}}
  
  
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