Machine Learning
Courses
- Hands-On PyTorch Machine Learning
- Machine Learning and AI Foundations: Advanced Decision Trees with KNIME
- Machine Learning with Python: Association Rules
- Machine Learning with Python: Logistic Regression
- Azure Machine Learning Development: Part 2
- Advanced AI: NLP Techniques for Clinical Datasets
- AutoML: Build Production-Ready Models Quickly!
- Learning JAX
- Self-Supervised Machine Learning
- MLOps Essentials: Model Deployment and Monitoring
- AWS DeepRacer: Building a Reinforcement Learning Model
- MLOps Essentials: Model Development and Integration
- Build GANs and Diffusion Models with TensorFlow and PyTorch
- Essentials of MLOps with Azure: 4 Spark MLflow Models and Model Registry
- Essentials of MLOps with Azure: 3 Spark MLflow Projects on Databricks
- Essentials of MLOps with Azure: 1 Introduction
- Top 10 Skills for Machine Learning Professionals
- Essentials of MLOps with Azure: 2 Databricks MLflow and MLflow Tracking
- Machine Learning Foundations: Linear Algebra
- Azure Machine Learning Development: Part 1
- Machine Learning and AI Foundations: Causal Inference and Modeling
- Azure AI Fundamentals (AI-900) Cert Prep: 2 Principles of Machine Learning on Azure
- Learning TinyML: A Hands-On Course
- Machine Learning and AI Foundations: Decision Trees with KNIME