AI News, ethen8181/machine-learning
- On Sunday, September 30, 2018
- By Read More
This is a continuously updated repository that documents personal journey on learning data science, machine learning related topics.
For those interested there's also a pyspark rdd cheatsheet and pyspark dataframe cheatsheet that may come in handy.
Choosing the optimal cutoff value for logistic regression using cost-sensitive mistakes (meaning when the cost of misclassification might differ between the two classes) when your dataset consists of unbalanced binary classes.
Majority of the data points in the dataset have a positive outcome, while few have negative, or vice versa.
The notion can be extended to any other classification algorithm that can predict class’s probability, this documentation just uses logistic regression for illustration purpose.
- On Monday, September 23, 2019
Azure Machine Learning: Predict Who Survives the Titanic - Jennifer Marsman - Duo Tech Talk
Interested in doing machine learning in the cloud? In this demo-heavy talk, I will set the stage with some information on the different types of machine learning ...
Machine Learning class project by Pratik Deoghare and Rahul Dutta. The algorithm: Input: - U: Large number of unlabelled samples - L = L^+ \cup L^-: Small ...
Livestream Day 2: Stage 6 (Google I/O '18)
This livestream covers all of the Google I/O 2018 day 2 sessions that take place on Stage 6. Stay tuned for technical sessions and deep dives into Google's latest ...