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Source channel @devilsbelow · Post #445 · Jan 13

🌐Weekly News Digest [ January 5 – January 11 ] That was the first full-fledged week of the new year of 2026, during which rulers forgave those who polluted their land, dismissed those who were managing their oil. 💡Here are the key highlights: 🇧🇼 Botswana — Botswana Invites Russia to Invest in Its Mining Sector 🇨🇩 DR Congo — Congolese clergy speaks against the US-DRC agreement. — The government allows processing units to accept ore from artisanal miners amid protests 🇬🇶 Equatorial Guinea — Equatorial Guinea moves its capital to a brand new city built on oil revenues 🇬🇭 Ghana — A Ghanaian prophet predicts the discovery of major onshore oil deposits in Ghana — Ghana hopes to keep its oil fields viable until 2040 🇲🇱 Mali — JNIM militants attack a gold mine in southeastern Mali 🇳🇪 Niger — Niger replaces its oil minister 🇳🇬 Nigeria — President reshuffles the country's oil sector management 🇸🇩 Sudan — Sudan’s central bank and Sudanese Mineral Resources Company set up a joint commission to curb illegal gold exports. 🇺🇬 Uganda — Uganda to start its first oil exports by October, despite environmental concerns 🇿🇲 Zambia — First report on the toxic pollution caused by a Chinese company designates 160 people as victims — Zambia is concerned over the safety of its workers in southern DRC #NewsDigest ➡️ Follow to stay informed - @devilsbelow

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Data Science Jobs

@datasciencejobs · Post #1684 · 09/21/2023, 07:01 AM

#вакансия#job#datascience#mlengineer#research#predictiveanalytics Роль: Middle ML engineer в IDecide Локация компании и заказчика: РФ Работать можно удалённо. Москва или Подмосковье - преимущество с т.з. возможности пересекаться в офисе с командой). Такое есть команда в Иваново. Доход: 200-250К net Отклики присылать: @mipt_nz Статус: есть экспериментальный код модели предсказания оттока клиентов для компании финансового сектора. Модель включает в себя предобработку данных, генерацию фичей, ML модель и rule-based часть. Задачи: Необходимо сделать рефакторинг кода для внедрения в продакшен, для этого: - разобраться в текущем коде модели (в этом помогут текущие разработчики модели); - написать тесты; - переструктурировать код в соответствии со стандартами индустрии (за образец можно взять классы scikit-learn); - сопроводить код комментариями и документацией. Требования: - знание классического ML и python; - опыт написания продакшен кода в ML; - хорошее знание ООП; - знание структуры классов scikit-learn, либо желание разобраться в ней; - базовое владение: git, командная строка linux, docker, понимание сервисной архитектуры. Интересный проект по предсказанию поведения пользователей на основе исторических данных. Присоединяйтесь, ждём Вас в команду 🤗

Crypto M - Crypto News

@CryptoM · Post #64826 · 04/10/2026, 02:43 AM

🚀 AI's Impact on Investment and Trading: Insights from Nansen CEO PANews posted on X (formerly Twitter) about a discussion with Nansen CEO Alex Svanevik on the evolving role of AI in investment and trading. Svanevik highlighted that 'smart money 2.0' is transforming into a predictive system, with agent trading expected to surpass human trading by 2028. However, he emphasized the need for users to build a 'trust ladder' before fully relying on trading agents. The conversation also covered the implementation of tools like OpenClaw in enterprise settings, where safety is prioritized over speed. Svanevik shared insights on how the Nansen team utilizes OpenClaw and how AI is reshaping team structures. He noted that 'judgment' is becoming the most scarce resource within AI-native companies. Svanevik further pointed out that low latency, overcoming AI bottlenecks, and open-source solutions will define the next generation of agent infrastructure. #AI#Investment#Trading#FinTech#MachineLearning#PredictiveAnalytics#OpenSource#EnterpriseAI#FinancialTechnology#AlgorithmicTrading