Big Data Analysis
Big Data is not just the ability to store large amounts of data, more important is what we can do to the data in that large volume, how we use the data with such large vo...
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Muse: a Better Music Recommendation Application
Contributed by http://blog.nycdatascience.com/author/sjstebbins/“,”Spencer”;)”>Spencer James Stebbins. He enrolled in the NYC Data Science Ac...
5 ways to improve the model accuracy of Machine Learning
Today we are into digital age, every business is using big data and machine learning to effectively target users with messaging in a language they really understand and p...
Time Series Analysis With Generalized Additive Models
This article comes from Algobeans Layman tutorials in analytics. Whenever you spot a trend plotted against time, you would be looking at a time series. The de facto ch...
Deep Learning Cheat Sheet (using Python Libraries)
We added one new cheat sheet to our list of data science cheat sheets: Deep Learning Cheat Sheet (using Python Libraries) Previous entries include: PySpark Cheat Sheet: S...
Blockchain Basics
Let’s understand ledgers which form the basis of blockchain implementation. A ledger is a document which records summarized financial information as debits and credits,...
Deep Learning Cheat Sheet (using Python Libraries)
This cheat sheet was produced by DataCamp, and it is based on the Keras library..Keras is an easy-to-use and powerful library for Theano and TensorFlow that provides a h...
Re-thinking Enterprise business processes using Augmented Intelligence
In the 1990s, there was a popular book called Re-engineering the Corporation. Looking back now, Re-engineering certainly has had a mixed success – but it did have an im...
Which machine learning algorithm should I use?
By Hui Li, Principal Staff Scientist, Data Science, at SAS. A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is “which...
Book: Data Science for the Layman: No Math Added
Want to get started on data science? Our promise: no math added. This book has been written in layman’s terms as a gentle introduction to data science and its algorithm...