Machine Learning Applications
ΡΠ΅Π². 2025β―Π³. Β· Publifye AS
Π-ΠΊΠ½ΠΈΠ³Π°
107
Π‘ΡΡΠ°Π½ΠΈΡΠΈ
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Π‘ΠΎΠΎΠ΄Π²Π΅ΡΠ½Π°
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reportΠΡΠ΅Π½ΠΈΡΠ΅ ΠΈ ΡΠ΅ΡΠ΅Π½Π·ΠΈΠΈΡΠ΅ Π½Π΅ ΡΠ΅ ΠΏΠΎΡΠ²ΡΠ΄Π΅Π½ΠΈ Β ΠΠΎΠ·Π½Π°ΡΡΠ΅ ΠΏΠΎΠ²Π΅ΡΠ΅
ΠΠ° Π΅-ΠΊΠ½ΠΈΠ³Π°Π²Π°
Machine Learning Applications explores the transformative impact of machine learning across healthcare, finance, and transportation. Moving beyond theory, it highlights real-world applications of algorithms in these vital sectors. For instance, machine learning powers diagnostics in healthcare, enabling image recognition for disease detection, and enhances algorithmic trading in finance, automating investment strategies.
The book examines how machine learning, a subset of artificial intelligence, automates complex tasks and derives insights from vast datasets. It begins with fundamental principles, progresses through case studies in each sector, and concludes with ethical considerations and future trends. One intriguing insight is its role in predictive maintenance within transportation, anticipating equipment failures.
This book stands out by bridging the gap between theoretical knowledge and practical uses, making it valuable for professionals and students alike. By focusing on tangible implementations and real-world examples, Machine Learning Applications empowers readers to apply these techniques effectively.
The book examines how machine learning, a subset of artificial intelligence, automates complex tasks and derives insights from vast datasets. It begins with fundamental principles, progresses through case studies in each sector, and concludes with ethical considerations and future trends. One intriguing insight is its role in predictive maintenance within transportation, anticipating equipment failures.
This book stands out by bridging the gap between theoretical knowledge and practical uses, making it valuable for professionals and students alike. By focusing on tangible implementations and real-world examples, Machine Learning Applications empowers readers to apply these techniques effectively.
ΠΡΠ΅Π½Π΅ΡΠ΅ ΡΠ° Π΅-ΠΊΠ½ΠΈΠ³Π°Π²Π°
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ΠΠ° Π΄Π° ΡΠΈΡΠ°ΡΠ΅ Π½Π° ΡΡΠ΅Π΄ΠΈ ΡΠΎ Π΅-ΠΌΠ°ΡΡΠΈΠ»ΠΎ, ΠΊΠ°ΠΊΠΎ ΡΡΠΎ ΡΠ΅ Π΅-ΡΠΈΡΠ°ΡΠΈΡΠ΅ Kobo, ΡΠ΅ ΡΡΠ΅Π±Π° Π΄Π° ΠΏΡΠ΅Π·Π΅ΠΌΠ΅ΡΠ΅ Π΄Π°ΡΠΎΡΠ΅ΠΊΠ° ΠΈ Π΄Π° ΡΠ° ΠΏΡΠ΅ΡΡΠ»ΠΈΡΠ΅ Π½Π° ΡΡΠ΅Π΄ΠΎΡ. Π‘Π»Π΅Π΄Π΅ΡΠ΅ Π³ΠΈ Π΄Π΅ΡΠ°Π»Π½ΠΈΡΠ΅ ΡΠΏΠ°ΡΡΡΠ²Π° Π²ΠΎ Π¦Π΅Π½ΡΠ°ΡΠΎΡ Π·Π° ΠΏΠΎΠΌΠΎΡ Π·Π° ΠΏΡΠ΅ΡΡΠ»Π°ΡΠ΅ Π½Π° Π΄Π°ΡΠΎΡΠ΅ΠΊΠΈΡΠ΅ Π½Π° ΠΏΠΎΠ΄Π΄ΡΠΆΠ°Π½ΠΈ Π΅-ΡΠΈΡΠ°ΡΠΈ.
