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Residence and citizenship in Dominica, St.Kitts & Nevis, Cyprus, Bulgaria, Greece, Malta, Antigua & Barduda and Portugal
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The document provides career advice for getting into the tech field, including:
- Doing projects and internships in college to build a portfolio.
- Learning about different roles and technologies through industry research.
- Contributing to open source projects to build experience and network.
- Developing a personal brand through a website and social media presence.
- Networking through events, communities, and finding a mentor.
- Practicing interviews through mock interviews and whiteboarding coding questions.Google's Just Not That Into You: Understanding Core Updates & Search Intent
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1. Core updates from Google periodically change how its algorithms assess and rank websites and pages. This can impact rankings through shifts in user intent, site quality issues being caught up to, world events influencing queries, and overhauls to search like the E-A-T framework.
2. There are many possible user intents beyond just transactional, navigational and informational. Identifying intent shifts is important during core updates. Sites may need to optimize for new intents through different content types and sections.
3. Responding effectively to core updates requires analyzing "before and after" data to understand changes, identifying new intents or page types, and ensuring content matches appropriate intents across video, images, knowledge graphs and more.How to have difficult conversations
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The document provides essential tips on how to handle difficult conversations in a workplace setting, emphasizing the importance of preparation, environment, and timing. It highlights that many employees dread such conversations, often leading to avoidance and worsening situations. Ultimately, the guide aims to promote positive outcomes while maintaining professional relationships.Introduction to Data Science
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The document discusses the rise and importance of data science and machine learning, highlighting the growing demand for data scientists and the challenges they face. It explains machine learning concepts such as supervised and unsupervised learning, along with various real-world applications and the necessary steps involved in a machine learning workflow. Additionally, the document emphasizes the iterative process of model improvement and feature engineering used to enhance machine learning outcomes.Time Management & Productivity - Best Practices
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The document outlines best practices for time management and productivity, focusing on effective meeting habits, structured work blocks, and the importance of reflection and goal setting. It emphasizes the need for proper planning, the use of appropriate tools, and prioritizing tasks to enhance both personal and team efficiency. Additionally, personal anecdotes and strategies are shared to encourage a positive mindset and enjoyment in achieving work-related goals.Artificial Intelligence, Data and Competition SCHREPEL June 2024 OECD dis...
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