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GMLE Machine Learning Engineer
Introduction
Welcome to GMLE Machine Learning Engineer
Overview of the Course
Fundamentals of Machine Learning
Introduction to Machine Learning
Types of Machine Learning Algorithms
Data Preprocessing for Machine Learning
Supervised Learning
Linear Regression
Logistic Regression
Decision Trees and Random Forests
Unsupervised Learning
K-Means Clustering
Hierarchical Clustering
Principal Component Analysis
Neural Networks and Deep Learning
Introduction to Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks
Model Evaluation and Optimization
Cross-Validation
Hyperparameter Tuning
Model Deployment and Monitoring
Case Studies and Projects
Real-World Applications of Machine Learning
Hands-On Projects and Assignments
Career Opportunities and Further Learning
Job Roles for Machine Learning Engineers
Continuous Learning and Skill Development
Conclusion
Course Recap and Final Thoughts
Next Steps in Your Machine Learning Journey
Next Steps in Your Machine Learning Journey
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