IoT 101 – Everything You Need to Know to Start Your IoT Project
Originally posted onData Science Central Summary: This is the first in a series of articles aimed at providing a complete foundation and broad understanding of the techni...
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10 Tools for Data Visualizing and Analysis for Business
Digging through messy data and doing numerous calculations just so you can submit a report or arrive at the result of your quarterly business development can sometimes be...
Big Data: 17 Predictions Everyone Should Read
Guest blog post by Bernard Marr. Almost everyone can agree that big data has taken the business world by storm, but what’s next? Will data continue to grow? What t...
Book: Python Data Science Handbook: Tools and Techniques for Developers 1st Edition
The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and di...
The 15 Essential Database Marketing Techniques
Database marketing is the process of collecting, analyzing, and identifying important information about you customers. The information comes different channels like sales...
12 Algorithms Every Data Scientist Should Know
A rather comprehensive list of algorithms can be found here. Many are posted and available for free on Github or Stackexchange. Algoritmia provides developers with ov...
Self-Learn Yourself Apache Spark in 21 Blogs – #3
In this Blog 3 – We will see what is Apache Spark’s History and Unified Platform for Big Data, and like to have quick read on blog 1 and blog 2. Spark was initiall...
8 Great Blogs Posted in the last 12 Months
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. The previous digest in this series...
18 Great Blogs Posted in the last 12 Months
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...