# KDnuggets™ News 21:n03, Jan 20: K-Means 8x faster, 27x lower error than Scikit-learn in 25 lines; Essential Math for Data Science: Information Theory

Here is a clever method of getting K-Means 8x faster, 27x lower error than Scikit-learn; Understand information theory you need for Data Science; Learn how to do cleaner data analysis with pandas using pipes; What are the four jobs of the data scientist? and more

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Here is a clever method of getting K-Means 8x faster, 27x lower error than Scikit-learn; Understand information theory you need for Data Science; Learn how to do cleaner data analysis with pandas using pipes; What are the four jobs of the data scientist? and more

Features

**K-Means 8x faster, 27x lower error than Scikit-learn in 25 lines****Essential Math for Data Science: Information Theory****Cleaner Data Analysis with Pandas Using Pipes****Build a Data Science Portfolio that Stands Out Using These Platforms****The Four Jobs of the Data Scientist****My Data Science Learning Journey So Far**

News

**Data Science and Analytics Career Trends for 2021****Snowflake and Saturn Cloud Partner To Bring 100x Faster Data Science to Millions of Python Users**

Tutorials, Overviews

**Graph Representation Learning: The Free eBook****Microsoft Uses Transformer Networks to Answer Questions About Images With Minimum Training****Comprehensive Guide to the Normal Distribution****Data Cleaning and Wrangling in SQL****Unsupervised Learning for Predictive Maintenance using Auto-Encoders**

Opinions

**How I Got 4 Data Science Offers and Doubled my Income 2 Months After Being Laid Off****Can Data Science Be Agile? Implementing Best Agile Practices to Your Data Science Process****8 New Tools I Learned as a Data Scientist in 2020****The Best Tool for Data Blending is KNIME**

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- You can post a free short entry on KDnuggets jobs page for an industry or academic job related to AI, Big Data, Data Science, or Machine Learning, email - see details at kdnuggets.com/jobs

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K-Means 8x faster, 27x lower error than Scikit-learn in 25 lines