Professional Certificate in SVM and Machine Learning Fundamentals

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The Professional Certificate in Support Vector Machines (SVM) and Machine Learning Fundamentals is a comprehensive course that equips learners with essential skills in machine learning. This program covers the theoretical foundations and practical applications of SVM, a powerful and widely-used algorithm in machine learning and data science.

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In today's data-driven world, there is a high demand for professionals who can leverage machine learning algorithms to extract insights and make informed decisions. This course provides learners with the skills to design and implement machine learning models that can solve real-world problems, making them highly valuable in various industries such as finance, healthcare, and technology. By completing this course, learners will have a deep understanding of SVM and its applications, as well as the ability to design and implement machine learning models using popular programming languages such as Python. These skills are essential for career advancement in data science, machine learning engineering, and related fields.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to Machine Learning · Overview of SVM
โ€ข Supervised Learning · Unsupervised Learning
โ€ข Regression vs Classification · Machine Learning Algorithms
โ€ข Support Vector Machines (SVM) · SVM Theory
โ€ข SVM Applications · SVM Optimization
โ€ข Kernel Tricks · Multi-class SVM
โ€ข Implementing SVM in Python · Practical Use Cases

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
PROFESSIONAL CERTIFICATE IN SVM AND MACHINE LEARNING FUNDAMENTALS
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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