Artificial Intelligence (AI)
Courses
- Machine Learning and AI Foundations: Prediction, Causation, and Statistical Inference
- AI Show: Deep Dive into Responsible AI Dashboard and Scorecard
- NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities
- Applied Machine Learning: Ensemble Learning (2022)
- Security Risks in AI and Machine Learning: Categorizing Attacks and Failure Modes (2022)
- Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
- Machine Learning with Data Reduction in Excel, R, and Power BI
- TensorFlow: Working with NLP
- Deep Learning: Model Optimization and Tuning (2022)
- TensorFlow 2.0: Working with Images
- TensorFlow 2: Working with Neural Networks
- Machine Learning with Logistic Regression in Excel, R, and Power BI
- Computer Vision on the Raspberry Pi 4
- Machine Learning with Python: Foundations
- Power BI: Integrating AI and Machine Learning
- Artificial Intelligence for Students (2021)
- ML.NET: Getting Started
- Deep Learning Foundations: Natural Language Processing with TensorFlow
- Next Generation AI: An Intro to GPT-3
- Training Neural Networks in C++ (2021)
- AWS Machine Learning: Building an Expense Tracker Using Amazon Textract
- Developing Chatbots with Azure
- Supervised Learning Essential Training
- Machine Learning with ML.NET