Master Advanced Machine Learning Techniques
16 Lessons
1h 59m
Master Advanced Machine Learning Techniques is a rigorous curriculum designed to elevate your machine learning skills. Key topics include: 1. Deep Learning and Neural Networks: Explore CNNs and RNNs for image, speech recognition, and natural language pro...
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Curriculum Outline
Total 4 Chapters
Introduction to Deep Learning
07:35
Recurrent Neural Networks (RNNs) for Sequence Data
07:39
Advanced Neural Network Architectures
08:20
Practical Applications of Deep Learning
08:17
Convolutional Neural Networks (CNNs) for Image Recognition
06:57
Chapter Quiz
Fundamentals of Reinforcement Learning
08:17
Implementing Q-Learning
06:45
Deep Q-Networks (DQNs)
07:50
Hands-on Projects in Reinforcement Learning
05:12
Chapter Quiz
Advanced Clustering Techniques
05:12
Statistical Methods for Anomaly Detection
08:37
Practical Applications of Unsupervised Learning
07:01
Chapter Quiz
Introduction to Ensemble Learning
09:44
Boosting and Bagging Techniques
06:47
Combining Models for Enhanced Performance
08:35
Practical Ensemble Method Applications
05:48
Chapter Quiz
Final Quiz
What you will learn
Deep Learning with CNNs and RNNs
Reinforcement Learning techniques
Advanced Unsupervised Learning
Anomaly Detection methods
Ensemble Methods for robustness
This curriculum is designed for
Experienced data scientists
Motivated machine learning beginners
Professionals enhancing ML skills
Those interested in deep learning
Learners tackling complex data challenges
Skills you can acquire
Data Science
LLM
Deep Learning
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