**12 Useful Things to Know About Machine Learning** - Apr 12, 2018.

This is a summary of 12 key lessons that machine learning researchers and practitioners have learned include pitfalls to avoid, important issues to focus on and answers to common questions.

**Pages:** 1 2

Tags: Causation, Correlation, Feature Engineering, High-dimensional, Machine Learning, Overfitting, Pedro Domingos

**Must-Know: What is the curse of dimensionality?** - Apr 18, 2017.

What is the curse of dimensionality? This post gives a no-nonsense overview of the concept, plain and simple.

Tags: Dimensionality Reduction, High-dimensional, Interview Questions

**17 More Must-Know Data Science Interview Questions and Answers, Part 2** - Feb 22, 2017.

The second part of 17 new must-know Data Science Interview questions and answers covers overfitting, ensemble methods, feature selection, ground truth in unsupervised learning, the curse of dimensionality, and parallel algorithms.

Tags: Algorithms, Data Science, Ensemble Methods, Feature Engineering, Feature Selection, High-dimensional, Interview Questions, Overfitting, Unsupervised Learning

**Seven Techniques for Data Dimensionality Reduction** - May 14, 2015.

Performing data mining with high dimensional data sets. Comparative study of different feature selection techniques like Missing Values Ratio, Low Variance Filter, PCA, Random Forests / Ensemble Trees etc.

Tags: Data Processing, High-dimensional, Knime, Rosaria Silipo

**Interview: Arijit Sengupta, CEO, BeyondCore on Advanced Analytics and Big Data** - May 9, 2014.

We discuss traditional analytics vs. modern analytics, avoiding over-simplification, human-technology interaction for Big Data, challenges in democratizing analytics and more.

Tags: Advanced Analytics, Arijit Sengupta, BeyondCore, High-dimensional, Interview

**MMDS 2014: Workshop on Algorithms for Modern Massive Data Sets, Berkeley, June 2014** - Mar 25, 2014.

The MMDS 2014 will address algorithmic, mathematical, and statistical challenges in modern statistical data analysis. Registration is open and you can apply to present a poster.

Tags: Algorithms, Berkeley-CA, High-dimensional, Massive Datasets, Poster, Workshop