Understanding Cross Validation across the Data Science pipeline
Cross validation is a technique commonly used In Data Science. Most people think that it plays a small part in the data science pipeline, i.e. while training the model. H...
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New book on Advanced Data Structures and Algorithms for Big Data Applications
Here I want to present my new book on advanced algorithms for data-intensive applications named “Probabilistic Data Structures and Algorithms in Big Data Applicatio...
19 MOOCs on Mathematics & Statistics for Data Science & Machine Learning
This article was written by Swati Kashyap. Swati is a data science & analytics enthusiast. Currently,she is learning data science at Analytics Vidhya. Mathematics &...
DSC Webinar Series: Predictive Modeling’s Counterpart, Data Preparation
When plunging into predictive analytics, we often forget to talk about the data preparation necessary for it. In this latest Data Science Central webinar, we will use a m...
Data-science-related careers and what it takes to succeed in this sphere?
To begin with, data scientists are professionals in the field of information mining, collecting, and analyzing. Since these people solve existing and potential problems i...
Value Engineering: The Secret Sauce for Data Science Success
The business, economic and social good that can be delivered courtesy of data science is almost unbounded; it has the potential to improve healthcare, public safety, tran...
Hunting for Data: a Few Words on Data Scraping
No matter how intelligent and sophisticated your technology is, what you ultimately need for Big Data Analysis is data. Lots of data. Versatile and coming from many sourc...
Difference Between Big Data and Internet of Things
What does it mean, as a vendor, to say that you support the Internet of Things (IOT) from an analytics perspective? I think the heart of that question really boils down t...
DSC Webinar Series: AI on Demand: Data Science in Operations
AI is right here, right now—and changing our lives. The ever-present need for business optimization, combined with a long history of applied statistics, explosive growt...
The Data Science Method (DSM) -Pre-processing and Training Data Development
The Data Science Method (DSM) – Pre-processing and Training Data Development This is the fourth article in a series about how to take your data science projects to ...