Почему развитие в ИИ стоит начинать с изучения математики и алгоритмов
Руководитель Школы анализа данных Яндекса в подкасте Machine Learning Podcast рассказывает, почему фундамент (матан, линал, теорвер, алгоритмы) — это не скучная теория, а база для работы с ИИ в 2026.
Вы узнаете, как глубокое понимание математики помогает писать эффективный код, отлаживать модели и ориентироваться в разных областях ML. А ещё — почему даже опытным разработчикам полезно возвращаться к фундаментальным дисциплинам.
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#подкаст#ML
🌎 Southern China’s Stone Forest, or Shilin, is a dramatic landscape of towering limestone pillars shaped by both natural erosion and centuries of quarrying. Human mining over the last thousand years has altered parts of this ancient karst region, creating new rock formations and open spaces alongside original spires. ✨
#geology⚡#humanimpact⚡#landscapes
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🌍 Cities often create "urban heat islands," where temperatures are higher than surrounding areas due to concrete, asphalt, and less greenery. This effect can raise cities’ temperatures by several degrees. ✨
#urbanization⚡#temperature⚡#humanimpact⚡#geography⚡#nature⚡#earth
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🌎 One of Earth's largest artificial lakes, Lake Volta in Ghana, was created in the 1960s by damming the Volta River. Spanning about 8,500 square kilometers, it supports fisheries and transportation but submerged forests and displaced over 78,000 people during its construction. ✨
#humanimpact⚡#reservoirs⚡#Africa
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🌎 The Florida Everglades, once a vast slow-moving river system, has been dramatically altered by canals, levees, and drainage for agriculture and cities. Over 50% of the original wetlands have been lost since the early 20th century, reducing habitat for species like the Florida panther and snail kite. ✨
#Everglades⚡#wetlands⚡#humanimpact
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