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  2. Artificial intelligence in hiring - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_in...

    AI can reduce human involvement in hiring and reduce the human biases that hinder effective hiring decisions. [18] AI is changing the way work is done. [opinion] Artificial intelligence along with other technological advances such as improvements in robotics have placed 47% of jobs at risk of being eliminated in the near future. [19]

  3. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]

  4. Get breaking Finance news and the latest business articles from AOL. From stock market news to jobs and real estate, it can all be found here.

  5. Internship - Wikipedia

    en.wikipedia.org/wiki/Internship

    Internships exist in a wide variety of industries and settings. An internship can be paid, unpaid, or partially paid (in the form of a stipend). [8] Internships may be part-time or full-time and are usually flexible with students' schedules. A typical internship lasts between one and four months, but can be shorter or longer, depending on the ...

  6. National Space Grant College and Fellowship Program

    en.wikipedia.org/wiki/National_Space_Grant...

    This free, STEM-centered event, is available to 8th and 9th graders with a 2.3 GPA or better. [6] BLAST's purpose is to show the students the interesting aspects of STEM to those who are unsure whether they want to be involved in STEM or not. Nationwide Eclipse Ballooning Project The NEBP is a high-altitude, balloon launching program. [7]

  7. Online machine learning - Wikipedia

    en.wikipedia.org/wiki/Online_machine_learning

    Online learning is a common technique used in areas of machine learning where it is computationally infeasible to train over the entire dataset, requiring the need of out-of-core algorithms. It is also used in situations where it is necessary for the algorithm to dynamically adapt to new patterns in the data, or when the data itself is ...