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Duration 21 hours (3 days)
Course Outline
Introduction to Advanced Machine Learning Models
- Overview of complex models: Random Forests, Gradient Boosting, Neural Networks.
- When to use advanced models: Best practices and real-world use cases.
- Introduction to ensemble learning techniques.
Hyperparameter Tuning and Optimization
- Grid search and random search techniques.
- Automating hyperparameter tuning with Google Colab.
- Leveraging advanced optimization techniques (Bayesian, Genetic Algorithms).
Neural Networks and Deep Learning
- Building and training deep neural networks.
- Transfer learning with pre-trained models.
- Optimizing deep learning models for peak performance.
Model Deployment
- Introduction to model deployment strategies.
- Deploying models in cloud environments using Google Colab.
- Real-time inference and batch processing.
Working with Google Colab for Large-Scale Machine Learning
- Collaborating on machine learning projects in Colab.
- Using Colab for distributed training and GPU/TPU acceleration.
- Integrating with cloud services for scalable model training.
Model Interpretability and Explainability
- Exploring model interpretability techniques (LIME, SHAP).
- Explainable AI for deep learning models.
- Addressing bias and fairness in machine learning models.
Real-World Applications and Case Studies
- Applying advanced models in healthcare, finance, and e-commerce sectors.
- Case studies: Successful model deployments.
- Challenges and future trends in advanced machine learning.
Summary and Next Steps
Requirements
- A solid grasp of machine learning algorithms and core concepts.
- Proficiency in Python programming.
- Prior experience with Jupyter Notebooks or Google Colab.
Target Audience
- Data scientists.
- Machine learning practitioners.
- AI engineers.
Testimonials (2)
Getting people that never used AI some repetition in prompting and people that do use AI to consider different methods to using it.
Matthew Gay - Tarsus Pharmaceuticals
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Working from first principles in a focused way, and moving to applying case studies within the same day
