Newsletter | March 05 th 2019
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Can Big Data Help Provide Affordable Healthcare?

One percent of the global population possesses 40-percent of all the world’s wealth, a persistent issue for which economists and politicians have debated about for some time. Economic inequality is a problem that’s plaguing nations around the world.

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The World of Big Data

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6 Reasons Why Data Science Projects Fail

The short list consists of some of the top factors that can lead a project down a rabbit hole. When you start a new project, have this list handy so you’ll avoid the mistakes made by others.

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Building an Ecosystem with Open Source

Freely available software is a boon! Just deploy and customize with no time wasted in development. The high level of effort and contributions on open source projects ticks many people into using them.

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AI & Machine Learning

Building data science products? Think business first!

Modern machine learning libraries are both a blessing and a curse. Due to the ease with which the libraries can be used, most users (newbies and practitioners alike) focus too much on tools and techniques. We will discuss the high-level thinking process of coming up with a machine learning algorithm by asking a business question before even thinking about the tools or technologies.

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Artificial Intelligence is just a Tool

The hype about the possibilities and possible applications of artificial intelligence (AI) seems currently unlimited. The AI procedures and solutions are praised as true panaceas. However, when viewed soberly, they are just another tool in the toolbox of IT experts.

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How to prepare data for NLP (text classification) with Keras and TensorFlow

Text classification isn’t too different in terms of using the Keras principles to train a sequential or function model. You can even use Convolutional Neural Nets (CNNs) for text classification.

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Education and Tutorials

Scheduled Bootcamps
Location Seats & Discount Date
Washington DC 1 seat left at 25% off! Mar 25 – 29, 2019
Seattle 1 seat left at 25% off! Apr 8 – 12, 2019
Chicago 2 seats left at 25% off! Apr 22 – 26, 2019
New York 1 seat left at 25% off! Jun 24 – 28, 2019
Singapore 2 seats left at 30% off! July 8 - 12, 2019
Toronto 1 seats left at 30% off! Aug 19 – 23, 2019
Austin 3 seats left at 30% off! Sep 16 – 20, 2019
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