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MARCOMPLUS CONSULTING & TRAINING

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prasetiautamacv.wordpress.com

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Pras Blog - Machine Learning, Computer Vision, dan sedikit hidupku
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edukatama.com

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Edukatama is under construction
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Home - Artificial intelligence and data science
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Diorama School of Banking
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Beranda— Sadasa Academy
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Teamwork Indonesia
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Media Edutama Indonesia
Training atau pelatihan sertifikasi dan publik

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training-sdm.com

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gip-system.com

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SMILE GROUP YOGYAKARTA - Pelatihan Teknologi Informasi dan Pengembangan SDM - Pusat Pelatihan Instansi Pemerintah dan Swasta
SMILE GROUP YOGYAKARTA - Pelatihan Teknologi Informasi dan Pengembangan SDM - Pusat Pelatihan Instansi Pemerintah dan Swasta

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gemilang-training.com

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Gemilang Training - CV Gemilang Abadi Semesta
Gemilang Training - CV Gemilang Abadi Semesta

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Informasi Seminar Jadwal Training Pelatihan 2023 | WA : 0899-8121-246
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HRD SPOT - Corporate Learning Network
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Python for Data Science – All about Python – for Data Mining, Analysis, and Machine Learning https://PyDataScience.Org
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e-trainingonline.com

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Online Training - Website Training Online
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skillplus.web.id

skillplus.web.id skillplus.web.id           
SkillPlus - Free Indonesian Tutorial
SkillPlus - Free Indonesian Tutorial

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algorit.ma

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Algoritma Data Science School
Learn data science at Algoritma Data Science School through immersive boot camps, workshops, corporate training, and corporate consulting. Biased assessment of an algorithm. Algorithm aversion is "biased assessment of an algorithm which manifests in negative behaviours and attitudes towards the algorithm compared to a human agent." It describes a phenomenon where humans reject advice from an algorithm in a case where they would accept the same advice if they thought it was coming from another human. Algorithms, such as those employing machine learning methods or various forms of artificial intelligence, are commonly used to provide recommendations or advice to human decisionmakers. For example, recommender systems are used in E-commerce to identify products a customer might like, and artificial intelligence is used in healthcare to assist with diagnosis and treatment decisions. However, humans sometimes appear to resist or reject these algorithmic recommendations more than if the recommendation had come from a human. Notably, algorithms are often capable of outperforming humans, so rejecting algorithmic advice can result in poor performance or suboptimal outcomes.

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