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- User Authentication
- Matteo Sabadin's Credentials
- Matteo Sabadin's Wallet
- ML Architect
- Research Topics in ML & DL
- Final Exam: ML Architect
- Deep Learning with Keras
- ML/DL Best Practices: Building Pipelines with Applied Rules
- ML/DL Best Practices: Machine Learning Workflow Best Practices
- Advanced Reinforcement Learning: Principles
- Advanced Reinforcement Learning: Implementation
- Applied Deep Learning: Generative Adversarial Networks and Q-Learning
- Applied Deep Learning: Unsupervised Data
- Implementing Deep Learning: Optimized Deep Learning Applications
- Applied Predictive Modeling
- Implementing Deep Learning: Practical Deep Learning Using Frameworks & Tools
- ML Engineer
- Architecting Balance: Designing Hybrid Cloud Solutions
- Refactoring ML/DL Algorithms: Refactor Machine Learning Algorithms
- Refactoring ML/DL Algorithms: Techniques & Principles
- Architecting Balance: Hybrid Cloud Implementation with AWS & Azure
- Final Exam: ML Engineer
- Enterprise Architecture: Architectural Principles & Patterns
- Enterprise Services: Machine Learning Implementation on Google Cloud Platform
- Enterprise Architecture: Design Architecture for Machine Learning Applications
- Enterprise Services: Machine Learning Implementation on Microsoft Azure
- Enterprise Services: Enterprise Machine Learning with AWS
- ML/DL in the Enterprise: Machine Learning Modeling, Development, & Deployment
- ML/DL in the Enterprise: Pipelines & Infrastructure
- Automation Design & Robotics
- Applying Predictive Analytics
- Planning AI Implementation
- Predictive Modeling: Implementing Predictive Models Using Visualizations
- Predictive Modeling: Predictive Analytics & Exploratory Data Analysis
- Matteo Sabadin's Transcript
- Matteo Sabadin's Wallet
- About Accredible