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Density estimation evolves from traditional KDE, which struggles with high dimensions, computational inefficiency, and bandwidth sensitivity, to advanced Masked Autoregressive Flows (MAF). MAF uses neural networks for invertible mappings, enabling exact likelihoods and robust modeling of complex distributions. This shift promises scalable, precise analytics in data science.
As cyber threats evolve, ensuring your Cisco Secure Firewall remains optimized and up to date is essential. Join us for a 45-minute webinar designed for Cisco Firewall customers renewing their licenses, where we’ll walk through the latest updates, security enhancements, and best practices to help you maximize your investment.
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Amid staffing shortages and budget cuts at NOAA, private firms like WindBorne Systems are deploying balloons and drones to fill critical weather data gaps for forecasts. While innovative, this hybrid approach raises concerns over costs, standardization, and reliability. Experts warn it may not fully sustain precise predictions amid escalating climate extremes.
India's government plans to penalize universities with high research paper retractions, incorporating rates into evaluations that could impact funding and rankings, amid rising concerns over paper mills and data fabrication. Critics warn this may discourage legitimate self-corrections and stifle innovation. Experts suggest nuanced metrics and ethics training as alternatives.
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Generative AI is transforming data science by automating routine tasks, enabling professionals to focus on strategic, ethical, and high-impact roles. Reports from McKinsey and others predict economic gains but warn of obsolescence without adaptation. Data scientists must upskill in AI integration, collaboration, and sustainability to lead in this evolving field.
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