Certificate in ML Techniques: Connected Systems

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The Certificate in ML Techniques: Connected Systems course is a professional credential that equips learners with essential skills in machine learning and connected systems. This program is critical for career advancement in today's data-driven world, where businesses increasingly rely on connected systems and machine learning algorithms to drive decision-making and innovation.

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The course covers key topics such as data acquisition, processing, and analysis, as well as machine learning techniques, predictive modeling, and statistical analysis. Learners will gain hands-on experience working with real-world datasets and industry-standard tools and technologies, preparing them for success in a variety of roles, including data scientist, machine learning engineer, and connected systems architect. With a focus on practical application and industry demand, this course is an excellent choice for professionals seeking to enhance their skills and advance their careers in the exciting and rapidly growing field of machine learning and connected systems.

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โ€ข Unit 1: Introduction to Machine Learning Techniques
โ€ข Unit 2: Connected Systems and IoT Devices
โ€ข Unit 3: Data Acquisition and Preprocessing in Connected Systems
โ€ข Unit 4: Supervised Learning Algorithms in ML
โ€ข Unit 5: Unsupervised Learning Algorithms in ML
โ€ข Unit 6: Deep Learning Techniques for Connected Systems
โ€ข Unit 7: Model Training and Evaluation in ML
โ€ข Unit 8: Real-time Data Processing in Connected Systems
โ€ข Unit 9: Machine Learning Ethics and Security in Connected Systems
โ€ข Unit 10: Capstone Project: Implementing ML Techniques in Connected Systems

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CERTIFICATE IN ML TECHNIQUES: CONNECTED SYSTEMS
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ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London College of Foreign Trade (LCFT)
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05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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