🎯 ТОП-5 структур данных для обработки изображений
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Как компьютеры «видят» изображения?
Какие структуры помогают выделять объекты, экономить память и ускорять алгоритмы?
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В этом посте — ключевые структуры, без которых не обойтись в компьютерном зрении:
🔹 Матрицы
🔹 Цепи
🔹 Графы
🔹 Пирамиды
🔹 Квадродеревья
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Если хотите узнать больше — полная статья по ссылке: https://proglib.io/sh/nitr6FEIjR
Библиотека дата-сайентиста #буст
BY Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение
The global forecast for the Asian markets is murky following recent volatility, with crude oil prices providing support in what has been an otherwise tough month. The European markets were down and the U.S. bourses were mixed and flat and the Asian markets figure to split the difference.The TSE finished modestly lower on Friday following losses from the financial shares and property stocks.For the day, the index sank 15.09 points or 0.49 percent to finish at 3,061.35 after trading between 3,057.84 and 3,089.78. Volume was 1.39 billion shares worth 1.30 billion Singapore dollars. There were 285 decliners and 184 gainers.
A spike in interest rates since the start of the year has accelerated a rotation out of high-growth technology stocks and into value stocks poised to benefit from a reopening of the economy. The Nasdaq has fallen more than 10% over the past month as the Dow has soared to record highs, with a spike in the 10-year US Treasury yield acting as the main catalyst. It recently surged to a cycle high of more than 1.60% after starting the year below 1%. But according to Jim Paulsen, the Leuthold Group's chief investment strategist, rising interest rates do not represent a long-term threat to the stock market. Paulsen expects the 10-year yield to cross 2% by the end of the year. A spike in interest rates and its impact on the stock market depends on the economic backdrop, according to Paulsen. Rising interest rates amid a strengthening economy "may prove no challenge at all for stocks," Paulsen said.
Библиотека дата сайентиста | Data Science Machine learning анализ данных машинное обучение from in