Geoff Hulten
Applying machine learning in the real world.
Geoff Hulten is a PhD in machine learning and author of Building Intelligent Systems (http://intelligentsystem.io/book/). He has managed applied machine learning projects for over a decade, working on dozens of Internet scale machine learning efforts. His research has appeared in top international conferences, received thousands of citations, and won a SIGKDD Test of Time award for influential contributions to the data mining research community that have stood the test of time.
Machine Learning Course - 23. ML Design Pattern - Ranking
Machine Learning Course - 22. Reinforcement Learning
Machine Learning Course - 21. ML Design Pattern - Corpus Centric
Machine Learning Course - 20. Neural Network Architectures
Machine Learning Course - 19. Neural Networks
Machine Learning Course - 18. Basics of Computer Vision
Machine Learning Course - 17. ML Design Pattern: Adversarial Learning
Machine Learning Course - 16. Ensembles 3: Stacking & Intelligence Architectures
Machine Learning Course - 15. Ensembles 2: Boosting
Machine Learning Course - 14. Ensembles 1: Bagging & Random Forests
Machine Learning Course - 13. Intelligent User Experiences
Machine Learning Course - 12. Overfitting and Underfitting
Machine Learning Course - 11. Defining Success with Machine Learning Systems
Machine Learning Course - 10. Decision Trees
Machine Learning Course - 9. Implementing with Machine Learning
Machine Learning Course - 8. Naïve Bayes
Machine Learning Course - 7. Bounds and Comparing Models
Machine Learning Course - 6. ROC Curves and Operating Points
Machine Learning Course - 5. Introduction to Feature Selection
Machine Learning Course - 4. Intro to Feature Engineering with Text
Machine Learning Course - 3. Logistic Regression
Machine Learning Course - 2. Introduction to Evaluating Models (Lecture 2 of 23)
Machine Learning Course - 1. Overview of Machine Learning (Lecture 1 of 23)
Top 5 Career Paths for Data Professionals: Machine Learning & Machine Learning Engineering
Tips for Thinking Like a Machine Learning Architect
7 Tips for Video Meetings when Working Remotely
PyTorch Tutorial - Neural Networks & GPU
Install PyTorch on Windows with Visual Studio
Hyperparameter Tuning with PyTorch for Neural Networks & Computer Vision: the bias variance tradeoff
Machine Learning Course Overview Part 2