Global Certificate in Machine Learning with SVM

Name: Global Certificate in Machine Learning with SVM
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The Global Certificate in Machine Learning with SVM course is a comprehensive program that equips learners with essential skills in machine learning. This course is crucial in today's data-driven world, where businesses rely heavily on data analysis to make informed decisions.

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AboutThisCourse

The course covers various machine learning techniques, with a strong focus on Support Vector Machines (SVM). SVM is a powerful and versatile supervised learning method used for classification and regression analysis. Learners will gain in-depth knowledge of this technique, making them highly valuable in the job market. With the increasing demand for machine learning professionals across industries, this course offers a great opportunity for career advancement. It provides hands-on experience with real-world projects, enabling learners to apply theoretical concepts to practical situations. Upon completion, learners will have a solid understanding of machine learning principles and practical experience with SVM, making them well-prepared for roles such as Machine Learning Engineer, Data Scientist, or Data Analyst.

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CourseDetails

• Introduction to Machine Learning – Overview of machine learning, types of machine learning, and applications
• Support Vector Machines (SVMs) – Theory and intuition behind SVMs, linear SVMs, and kernel SVMs
• SVM Implementations – Programming SVMs in Python using Scikit-learn and other libraries
• Feature Engineering – Data preprocessing, feature scaling, and creating polynomial and interaction features
• Kernel Methods – Understanding and applying various kernel functions in SVMs
• Optimizing SVMs – Selecting the right kernel, regularization parameter, and handling imbalanced datasets
• Multiclass SVMs – Extension of binary SVMs to handle multiclass problems
• SVM Applications – Real-world use cases of SVMs in text classification, image recognition, and bioinformatics
• Evaluation Metrics – Accuracy, precision, recall, F1 score, ROC curves, and AUC for SVM model assessment

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
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FastTrack GBP £140

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ThreeFourHoursPerWeek
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StandardMode GBP £90

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TwoThreeHoursPerWeek
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GLOBAL CERTIFICATE IN MACHINE LEARNING WITH SVM

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London School of International Business (LSIB)

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05 May 2025

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