How to create a local PySpark test environment using an AWS S3 data source


The lack of education on these topics has generated unproductive arguments of risk and probability.



My Notes for “How to Win a Data Science Competition From Top Kagglers” on Coursera.org

https://www.kaggle.com/progression


Rank Ordering with TensorFlow 2.0

Introduction

A ranking algorithm can be used if the target variable is numerically ordered. The model will capture the shared variation between adjacent classes. This model can also be useful for semi-supervised classification, where proxy targets are assigned as a lower rank than the actual targets.


Forecasting with TensorFlow 2.0


Density Estimation using Multi-Agent Optimization & Rewards

Introduction

The purpose, problem statement, and potential applications came from this post on datasciencecentral.com. The goal is to approximate any multi-variate distribution using a weighted sum of kernels. Here, a kernel refers to a parameterized distribution. …


A Modern Genetic Optimization Method (2019)

Review of Multi-Offspring Improved Real-Coded Genetic Algorithm (MOIRCGA)


Train a Robust Classifier using a GPU


Essential information about the covariance matrix for data scientists

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