How to Get Started in Artificial Intelligence, Deep Learning, Machine Learning, and Data Science
Articles About Supervised Machine Learning
Articles About Unsupervised Machine Learning
Articles About Reinforcement Learning
Articles About Recommendations / Recommender Systems
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Non-negative Matrix Factorization
Articles About Natural Language Processing (NLP)
Articles About Financial Engineering and Financial Analysis
Articles About Time Series Analysis and Forecasting
Articles About Probability and Statistics
Articles About Machine Learning Tools and Libraries
Articles About Machine Learning Applications in the Real-World
Practical Issues:
- How to setup NVIDIA GPU laptop with Ubuntu for Deep Learning (CUDA and CuDNN)
- Probability Smoothing for Natural Language Processing (NLP)
- Cross-validation
- How to run distributed machine learning jobs using Apache Spark and EC2 (and Python)
- Covariance Matrix: Should you divide by N or N-1?
