Global Certificate Course in Machine Learning Patterns
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- Introduction to Machine Learning: Supervised vs. Unsupervised Learning
- Regression Techniques: Linear Regression, Polynomial Regression, Regularization
- Classification Algorithms: Logistic Regression, Support Vector Machines (SVM), Decision Trees
- Clustering Methods: K-means, Hierarchical Clustering
- Dimensionality Reduction: Principal Component Analysis (PCA), Feature Selection
- Model Evaluation Metrics: Accuracy, Precision, Recall, F1-Score, AUC
- Machine Learning Workflow and Pipelines
- Bias-Variance Tradeoff and Overfitting/Underfitting
- Introduction to Deep Learning (Neural Networks)
CareerPath
Career Role Description Machine Learning Engineer (UK) Develops and implements machine learning algorithms; high demand, excellent Machine Learning career path.
Data Scientist (UK) Analyzes large datasets; requires strong statistical modelling and data mining skills; high earning potential.
AI/ML Consultant (UK) Advises businesses on implementing AI and Machine Learning solutions; strong communication skills are essential.
Business Intelligence Analyst (UK) Uses data analysis to inform business decisions; predictive modelling skills highly valued.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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