Big Data and Machine Learning (Google case)
The database is like a library building … every book (information) that enters must be properly placed (processed systematically), when a number of books come then ...
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Reading List for Data Scientists
Here are some recommended books for data science practitioners, covering machine learning, deep learning, business intelligence, forecasting, text analytics and much more...
The thin lines: business intelligence (BI), business analytics (BA), and data analytics
There is so much hype and interest in Business Analytics (BA), it begs the question of digging deep into hives. I was curious in finding a little light of the following q...
Four Types of Data Scientists
I wrote about this long ago (see here in 2014), and so did many other practitioners. This new post shows more maturity I think, a more coherent view about the various da...
Dataviz with Python
This article was written by Reiichiro Nakano. There are a number of visualizations that frequently pop up in machine learning. Scikit-plot is a humble attempt to pro...
How do you identify an actual data scientist?
This question was recently posted on Quora, and generated a lot of answers. Here is mine: What differentiates a real doctor from a fake doctor? What about one with no med...
DSC Webinar Series: Harnessing the Power of AI with Azure Databricks
Harnessing the power of AI on streaming data generated by thousands of IoT devices is no easy task. Lennox International came to this realization as they looked to build ...
Top 9 Data Science Use Cases in Banking
Using data science in the banking industry is more than a trend, it has become a necessity to keep up with the competition. Banks have to realize that big data technologi...
Programming Languages for Data Science and ML – With Source Code Illustrations
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...
How to setup a Data Science function for your organisation
This article will provide a high level understanding of effective ways to set up a data science function in 3 types of organisations: (1) Startups, (2) Medium Size Orga...