Certificate in ML Essentials: Connected Systems

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The Certificate in ML Essentials: Connected Systems is a comprehensive course that equips learners with essential skills in machine learning and connected systems. This program is critical in today's industry, where businesses rely heavily on data-driven decision-making and automation.

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The course covers key topics such as data analysis, machine learning algorithms, and predictive modeling. Learners will also gain hands-on experience with connected systems, including IoT devices and cloud platforms. This practical knowledge is highly sought after by employers in various industries, including tech, healthcare, and finance. Upon completion of the course, learners will have a solid foundation in machine learning and connected systems, enabling them to pursue careers as data analysts, machine learning engineers, or IoT specialists. By gaining essential skills and knowledge in this rapidly growing field, learners can advance their careers and stay competitive in the job market.

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โ€ข Unit 1: Introduction to Machine Learning (ML) & Connected Systems
โ€ข Unit 2: Data Preprocessing & Feature Engineering
โ€ข Unit 3: Supervised Learning Algorithms in ML
โ€ข Unit 4: Unsupervised Learning Algorithms in ML
โ€ข Unit 5: Model Evaluation & Hyperparameter Tuning
โ€ข Unit 6: Deep Learning & Neural Networks
โ€ข Unit 7: Natural Language Processing (NLP) & Text Analytics
โ€ข Unit 8: Computer Vision & Image Recognition
โ€ข Unit 9: ML for IoT & Edge Computing
โ€ข Unit 10: Ethics, Bias, & Regulations in ML

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CERTIFICATE IN ML ESSENTIALS: CONNECTED SYSTEMS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London College of Foreign Trade (LCFT)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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