R programming has an extremely vast package ecosystem. It provides robust tools to master all the core skill sets of data science.
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The fact that we are dealing with an explosion of data all around us is not lost on anyone. A lot of time in board meetings is spent on ‘data strategy’. Are you an offline retailer? Your board is…
A lot of songs have been sung about the virtues of having precise information at the precise time. And these songs just don’t get old. If anything, they are only getting BIG. People are looking for information (read products and services)
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This article comes from Togaware. A Survival Guide to Data Science with R These draft chapters weave together a collection of tools for the data scientist—tools that are all part of the R Statistical Software Suite. Each chapter is a collection of one (or more) pages that cover particular aspects of the topic. The chapters can be… Read More »One-page R: a survival guide to data science with R
This blog post is about the ACL 2017 paper Get To The Point: Summarization with Pointer-Generator Networks by Abigail See, Peter J Liu, and Christopher Manni...
The book describes techniques for manipulation of text using the Python programming language.
A short summary on the concept of over-fitting in Data Science and Machine Learning
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A Hands-On Introduction to Data Science READ MORE A Hands-On Introduction to Data Science This book introduces the field of data science i...
