** 7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition** - Jun 3, 2019.

This is the second part of this new learning path series for mastering machine learning with Python. Check out these 7 steps to help master intermediate machine learning with Python!

Tags: 7 Steps, Classification, Cross-validation, Dimensionality Reduction, Feature Engineering, Feature Selection, Image Classification, K-nearest neighbors, Machine Learning, Modeling, Naive Bayes, numpy, Pandas, PCA, Python, scikit-learn, Transfer Learning

**KDnuggets™ News 19:n06, Feb 6: Data Scientists: Why are they so expensive to hire? An Essential Data Science Venn Diagram** - Feb 6, 2019.

Also an overview of main methods for Dimension Reduction; an intuitive explanation of Random Forests; how to avoid data visualization disasters; and trending Deep Learning Github repos.

Tags: Data Scientist, Dimensionality Reduction, Hiring, Random Forests, Venn Diagram

**What Is Dimension Reduction In Data Science?** - Jan 31, 2019.

An extensive introduction into Dimension Reduction, including a look at some of the different techniques, linear discriminant analysis, principal component analysis, kernel principal component analysis, and more.

Tags: Data Science, Dimensionality Reduction, Linear Discriminant Analysis, Principal component analysis

**KDnuggets™ News 18:n27, Jul 18: Data Scientist was the sexiest job until…; Text Mining on the Command Line; Does PCA Really Work?** - Jul 18, 2018.

Also: What is Minimum Viable (Data) Product?; Beating the 4-Year Slump: Mid-Career Growth in Data Science; GDPR after 2 months - What does it mean for Machine Learning?; Basic Image Data Analysis Using Numpy and OpenCV; fast.ai Deep Learning Part 2 Complete Course Notes

Tags: Data Science, Data Scientist, Deep Learning, Dimensionality Reduction, GDPR, Image Recognition, Machine Learning, PCA, Text Mining

**Dimensionality Reductionâ€Š: Does PCA really improve classification outcome?** - Jul 13, 2018.

In this post, I am going to verify this statement using a Principal Component Analysis ( PCA ) to try to improve the classification performance of a neural network over a dataset.

Tags: Classification, Dimensionality Reduction, Machine Learning, PCA, R

**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

**KDnuggets™ News 15:n16, May 20: 7 Techniques for Dimensionality Reduction; Who are the real Data Scientists?** - May 20, 2015.

Seven Techniques for Data Dimensionality Reduction; Will the Real Data Scientists Please Stand Up. Most Viewed Data Mining Videos on YouTube; Should Data Science Really Do That?

Tags: Data Mining Training, Dimensionality Reduction, Ethics, Youtube