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IT Skills
Software Development
Machine Learning
Advanced Reinforcement Learning
Advanced Topics in deep Learning
Applying Convolutional Networks to Visual and Recognition Tasks
Architecting Balance: On-prem, Cloud, and Hybrid
Building & Enterprise-grade Architecture
Drag and Drop Machine Learning Using Big ML
Extending Keras
Fundamentals of Convolutional Neural Networks
Gradient Descent and Regularization for Linear Models
Graph Neural Networks
Implementing Deep Learning
Improving Neural Networks: Regularization and Optimization
Keras, An Introduction
Linear Regression Models
Modelling Enterprise Services
Natural Language Processing for ML with Python
Refactoring ML/DL Algorithms