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  6. [Case Study] Ministry of Defense Equipment Agency

[Case Study] Ministry of Defense Equipment Agency

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last updated:Jun 12, 2023

キカガク
キカガク
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Machine Learning and Deep Learning! A Case Study to Elevate Skills from Zero to Practical Level in 5 Days.

The Defense Equipment Agency required education to elevate beginners in machine learning to a practical level for research and utilization of AI technology. Therefore, after a "pre-learning" session such as "Introduction to Python Machine Learning," we conducted an offline training program consisting of "practical" and "comprehensive exercises" over two sessions of five days each. According to the survey results, the average satisfaction score for the training (on a 5-point scale) was 4.9, and the average clarity of explanation score (on a 5-point scale) was 4.7. [Case Overview] ■ Duration: 5 days × 2 sessions ■ Format: Offline training ■ Number of participants: 20 ■ Target audience: Staff of the Aviation Equipment Research Institute *For more details, please refer to the PDF document or feel free to contact us.

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[Case Study] Ministry of Defense Equipment Agency

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  • Related Link - https://www.kikagaku.co.jp/

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【Survey Results】 ■Training Satisfaction (5-point scale) Average Score: 4.9 points ■Clarity of Explanation (5-point scale) Average Score: 4.7 points ■Utilization Image (3-point scale) Average Score: 3 points *For more details, please refer to the PDF document or feel free to contact us.

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[Case Study] Japan Ministry of Defense Equipment Agency

[Case Study] Japan Ministry of Defense Equipment Agency

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キカガク

キカガク

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Our company offers training programs in advanced technologies, including AI and machine learning. We provide various services, such as regularly scheduled training sessions called "Open Courses" conducted by professionals in talent development, customized corporate training to solve real-world issues, and a SaaS called "DX Talent Assessment" to support the development of DX personnel in companies. Please feel free to contact us if you have any inquiries.

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