TGTGInsighttelegram intelligenceLIVE / telegram public index
← Devils Below

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @devilsbelow · Post #494 · Feb 2

🌐Weekly News Digest [ January 26 – February 1 ] That was a week of bribery charges and expansion of extraction activities across the whole continent. 💡Here are the key highlights: 🇩🇿 Algeria — Algeria’s minister for hydrocarbons visits Chad and Niger 🇨🇬 Congo — Two Norwegians and an oil company charged with bribing Congo’s president 🇨🇩 DR Congo — The leader of the AFC/M23 critisizes the US-DRC strategic agreement on access to minerals — More than 200 killed in a collapse at the AFC/M23-controlled Rubaya coltan mines in eastern DRC 🇱🇷 Liberia — Liberia ratified an agreement with the Luxembourg-based ArcelorMittal, extending the company’s rights to the Tokadeh iron deposit until 2075 🇲🇱 Mali — China’s largest mining company, Zijin buys Canadian company Allied Gold 🇲🇬 Madagascar — Madagascar has lifted its 2010 moratorium on new mining permits, except for gold 🇲🇿 Mozambique — TotalEnergies officially resume the Mozambique LNG project 🇳🇬 Nigeria — Nigeria’s President Bola Tinubu grants tax incentives to speed up Shell’s Bonga South West oil project — TotalEnergies sells its 10% stake in a Nigerian oil asset to a brand new local firm — A bribery trial of a former Nigerian minister of petroleum opens in London 🇸🇩 Sudan — Sudan seeks closer alignment with Saudi Arabia, including gold refinement 🇿🇲 Zambia — Zambia’s army carries out a full-fledged military operation around a gold deposit in the northwest of the country 🇿🇼 Zimbabwe — Illegal miners blamed for water supply disruptions in Zimbabwe's second largest city — Zimbabwe starts early implementation of increased royalties on gold mining #NewsDigest ➡️ Follow to stay informed - @devilsbelow

Hashtags

Results

2 similar posts found

Search: #predictiveanalytics

当前筛选 #predictiveanalytics清除筛选
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