Global Certificate Course in Machine Learning for Beginners and Beyond
-- ViewingNowThe Global Certificate Course in Machine Learning for Beginners and Beyond is a comprehensive program designed to meet the surging industry demand for AI expertise. Spanning ten units, it guides learners from foundational concepts to advanced applications, ensuring a robust understanding of data science principles.
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๊ณผ์ ์ธ๋ถ์ฌํญ
- Introduction to Machine Learning: Supervised vs. Unsupervised Learning
- Regression Models: Linear Regression, Polynomial Regression and Regularization
- Classification Algorithms: Logistic Regression, Support Vector Machines (SVM), Decision Trees
- Data Preprocessing and Feature Engineering: Handling Missing Values, Outliers and Feature Scaling
- Model Evaluation Metrics: Accuracy, Precision, Recall, F1-Score, AUC-ROC
- Clustering Techniques: K-Means Clustering, Hierarchical Clustering
- Neural Networks and Deep Learning Introduction
- Machine Learning with Python: Pandas, NumPy, Scikit-learn
- Practical Applications of Machine Learning and Case Studies
- Building a Machine Learning Pipeline
๊ฒฝ๋ ฅ ๊ฒฝ๋ก
Career Role Description Machine Learning Engineer (UK) Develops, implements, and maintains machine learning algorithms and models.
High demand, requiring strong programming and mathematical skills.
Data Scientist (UK) Analyzes large datasets to extract insights and build predictive models.
Requires strong statistical analysis and data visualization skills.
AI Specialist (UK) Focuses on the development and implementation of artificial intelligence solutions, often incorporating machine learning techniques.
High growth potential.
Machine Learning Researcher (UK) Conducts research to advance the field of machine learning, often focusing on developing novel algorithms and techniques.
Academic background preferred.
Business Intelligence Analyst (UK) Uses data analysis and machine learning techniques to support business decision-making.
Requires strong business acumen and communication skills.
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