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Intermediate

Data to Intelligence: AI & amp; ML in Practice

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing industries …

19,999.00

Data to Intelligence: AI & amp; ML in Practice

31 Lessons
2160 hours
Intermediate
What you'll learn
1. Understand fundamental AI and ML frameworks, methodologies, and problem-solving strategies.
2. Develop expertise in supervised and unsupervised learning, feature engineering, and model selection for practical applications.
3. Gain proficiency in advanced machine learning techniques, including logistic regression, SVM, dimensionality reduction, neural networks, and decision trees.
4. Apply reinforcement learning, PCA, and graphical models to real-world AI problems, improvingpredictive accuracy and decision-making
5. Learn optimization strategies and parameter estimation for high-performance models.
6. Explore unsupervised learning, clustering techniques, and ensemble methods.
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