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    No Free Lunch Theorem for Machine Learning

    The No Free Lunch Theorem is often thrown around in the field of optimization and machine learning, often with little understanding of what it means or implies. The theorem states that all optimization algorithms perform equally well when their performance is averaged across all possible problems. It implies that there is no single best optimization
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    We Don’t Need Data Scientists, We Need Data Engineers

    As more people are entering the field of Data Science and more companies are hiring for data-centric roles, what type of jobs are currently in highest demand? There is so much data in the world, and it just keeps flooding in, it now looks like companies are targeting those who can engineer that data more than those who can only model the data.
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    The Marketer’s 5 Step Guide to Beacon Technology

    The Marketer’s 5 Step Guide to Beacon Technology
    Beacon technology has completely revolutionized both business and marketing. As one Business.com article put it, with “Retail going digital and digital media coming to retail,” this technology is completely changing the marketing game. The key to the versatility of this location-based mobile technology lies in its size and function. It relies on small devices, often the size
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    A Gentle Introduction to Stochastic Optimization Algorithms

    Stochastic optimization refers to the use of randomness in the objective function or in the optimization algorithm. Challenging optimization algorithms, such as high-dimensional nonlinear objective problems, may contain multiple local optima in which deterministic optimization algorithms may get stuck. Stochastic optimization algorithms provide an alternative approach that permits less optimal local decisions to be made
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    Amazon’s driver monitoring app is an invasive nightmare

    Amazon's app to monitor drivers while in delivery vehicles is called "Mentor" but it doesn't seem to be helping those workers. A CNBC report about the tracking app comes after Amazon confirmed on Feb. 3 that it is using AI cameras in vans to monitor driver behavior and flag any safety issues. Those cameras are used on top of the separate driver safety app. The app is tracking the driver at all times either on an Amazon-provided device or on drivers' personal cellphones.  Mentor is made by eDriving, which describes the app on its website as a "smartphone-based solution that collects and analyzes driver behaviors most predictive of crash risk and helps remediate risky behavior by providing engaging, interactive micro-training modules delivered directly to the driver in the smartphone app.
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