Top 20 Python libraries for data science in 2018
Python continues to take leading positions in solving data science tasks and challenges. Last year we made a blog post overviewing the Python’s libraries that proved to...
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Top 15 Scala Libraries for Data Science in 2018
In our previous articles, we have discussed the top Python libraries for data science. This time we will focus on Scala, which has recently become another prominent langu...
Semantic Roles according to Word2Vec
Figure 1. Scatter plot of word embedding coordinates (coordinate #3 vs. coordinate #10). You can see that semantically related words are close to each other. This blog po...
Tutorial Day at Strata Data San Jose, 2018
Tuesday of Strata Data Conference is my favorite of the four days. The calm before the storm of the keynotes and short presentations of Wednesday-Thursday, Tuesday revolv...
Bill Vorhies Retrospective: Part 2
Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructur...
12 Interesting Reads for Math Geeks
Many data scientists have a passion for mathematics, and many modern math problems can be explored using data science. Below is a selection of interesting articles, many ...
20 Questions to Ask Prior to Starting Data Analysis
It is crucial to ask the right questions and/or understand the problem, prior to beginning data analysis. Below is a list of 20 questions you need to ask before delving i...
Top 20 R Libraries for Data Science in 2018 [Infographic]
R is a well-known and increasingly popular tool in the Data Science field. It is a programming language and a software environment primarily designed for statistical comp...
2019 Big Data and Data Science Predictions Through the Lens of Comedy Movies
It’s that time of year again when I look into the Crystal Skull…er, ball, and make some predictions of the continuing challenges and new trends I foresee in Big Data ...
20 Great Articles about AI
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...