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  2. Institute of Banking Personnel Selection - Wikipedia

    en.wikipedia.org/wiki/Institute_of_Banking...

    The Institute of Banking Personnel Selection (IBPS) is a central recruitment agency operating under the ownership of the Ministry of Finance in the Government of India that was started with an aim to encourage the recruitment and placement of young undergraduates, postgraduates and doctorates at the rank of Group 'A' officer, Group 'B' officer, Group 'C' employee and Group 'D' employee in ...

  3. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to produce because of the large amount of time needed to label the data. Although they do not need to be labeled, high-quality datasets for unsupervised learning can also be difficult and costly to produce ...

  4. MLOps - Wikipedia

    en.wikipedia.org/wiki/MLOps

    The predicted growth in machine learning included an estimated doubling of ML pilots and implementations from 2017 to 2018, and again from 2018 to 2020. [4] MLOps rapidly began to gain traction among AI/ML experts, companies, and technology journalists as a solution that can address the complexity and growth of machine learning in businesses.

  5. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    For example, machine learning has been used for classifying Android malware, [198] for identifying domains belonging to threat actors and for detecting URLs posing a security risk. [199] Research is underway on ANN systems designed for penetration testing, for detecting botnets, [200] credit cards frauds [201] and network intrusions.

  6. Machine-learned interatomic potential - Wikipedia

    en.wikipedia.org/wiki/Machine-learned_inter...

    One popular class of machine-learned interatomic potential is the Gaussian Approximation Potential (GAP), [5] [6] [7] which combines compact descriptors of local atomic environments [8] with Gaussian process regression [9] to machine learn the potential energy surface of a given system.

  7. Project-based learning - Wikipedia

    en.wikipedia.org/wiki/Project-based_learning

    Groups of students undertaking project-based learning. Project-based learning is a teaching method that involves a dynamic classroom approach in which it is believed that students acquire a deeper knowledge through active exploration of real-world challenges and problems. [1]

  8. Culminating project - Wikipedia

    en.wikipedia.org/wiki/Culminating_project

    The purpose of the project is to increase both teaching and learning. High school graduation standards have declined for several decades. School reform or the No Child Left Behind Act of 2001 [2] is a way to bring value back to the high school diploma as well as support students as they go out into the world prepared for college, a job, the military, entrepreneurship, internship, or whatever ...

  9. Feature (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Feature_(machine_learning)

    In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a data set. [1] Choosing informative, discriminating, and independent features is crucial to produce effective algorithms for pattern recognition, classification, and regression tasks.

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