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 The Art of Learning Data Science
A beginner’s account of getting into comfort zone of learning Data Science.
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Custom Optimizer in TensorFlow
How to customize the optimizers to speed-up and improve the process of finding a (local) minimum of the loss function using TensorFlow.
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Supercharging Visualization with Apache Arrow
Interactive visualization of large datasets on the web has traditionally been impractical. Apache Arrow provides a new way to exchange and visualize data at unprecedented speed and scale.
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How to build a Successful Advanced Analytics Department
This article presents our opinions and suggestions on how an Advanced Analytics department should operate. We hope this will be useful for those who want to implement analytics work in their company, as well as for existing departments.
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How Nonprofits Can Benefit from the Power of Data Science
Nonprofits can use analytics to boost their fundraising efforts, measure and monitor the impact of their activities, build predictive models, optimize allocation of funds, and more
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How AI Learns What You’re Willing to Pay
Why are we all paying different prices? Is it price "personalization" or price "discrimination"? The answer isn't so simple.
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Simple Ways Of Working With Medium To Big Data Locally
An overview of the installation and implementation of simple techniques for working with large datasets in your machine.
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70 Amazing Free Data Sources You Should Know
By Ilan Editor on December 20, 2017 in Big Data, Business, Crime, Datasets, Finance, Government, Health, Journalism, Octoparse, Social Media70 free data sources for 2017 on government, crime, health, financial and economic data, marketing and social media, journalism and media, real estate, company directory and review, and more to start working on your data projects.
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Getting Started with TensorFlow: A Machine Learning Tutorial
A complete and rigorous introduction to Tensorflow. Code along with this tutorial to get started with hands-on examples.
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Accelerating Algorithms: Considerations in Design, Algorithm Choice and Implementation
If you are trying to make your algorithms run faster, you may want to consider reviewing some important points on design and implementation.
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The Art of Learning Data Science
How to build a Successful Advanced Analytics Department
70 Amazing Free Data Sources You Should Know