New Book: Data Science: Mindset, Methodologies, and Misconceptions
From the author of the bestsellers, Data Scientist and Julia for Data Science, this book covers four foundational areas of data science. The first area is the data sci...
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How Big Is A Terabyte of Data
How Big Is a Terabyte of Data? By JINAG Buxing It seems that one mile distance isn’t long, and that a cubic mile isn’t that big if compared with the size of the earth...
Robust Attacks on Machine Learning Models
This is a nightmare! Tadayoshi Kohno, Professor at Department of Computer Science and Engineering, University of Washington, manipulated a STOP sign in a typical “g...
Why Deep Learning is Taking off? Season 1 : Part 1
First it was Machine Learning, and now all of a sudden Deep Learning is taking all the thunder even from Machine Learning. So what’s the difference, and why all of ...
Are you drowning in Data Lake?
Today more than even, every business is focusing on collecting the data and applying analytics to be competitive.Big DataAnalytics has passed the hype stage and has becom...
Are you drowning in Data Lake?
Today more than even, every business is focusing on collecting the data and applying analytics to be competitive. Big Data Analytics has passed the hype stage and has bec...
Data Science Simplified Part 8: Qualitative Variables in Regression Models
The last few blog posts of this series discussed regression models. Fernando has selected the best model. He has built a multivariate regression model. The model takes ...
Top Graphical Models Applications in Real World
1. Objective Now we are going to explain the various Graphical Models Applications in real life such as – Manufacturing, finance, Steel Production, Handwriting Recognit...
Machine Learning Vs. Statistics
This article was written by Aatash Shah. Many people have this doubt, what’s the difference between statistics and machine learning? Is there something like machine le...
Data Cleansing with Apache Spark and Optimus
Outdated, inaccurate, or duplicated data won’t drive optimal data driven solutions. When data is inaccurate, leads are harder to track and nurture, and insights may ...