Data Science

Data Science The Use of Machine Learning in Predicting Sports Match Outcomes

Out of all spheres of technological advancement, artificial intelligence has always attracted the most attention from the general public.

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Data Science Awesome Guides Create an Awesome Development Setup for Data Science using Atom

Before I even begin this article, let me just say that I love iPython Notebooks, and Atom is not an alternative to Jupyter in any way.

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Data Science Learning Resources Become an ML Engineer with these courses from Amazon and Google

With ML Engineer job roles in all the vogue and a lot of people preparing for them, I get asked a lot of times by my readers to recommend courses for the ML engineer roles particularly and not for the Data Science roles.

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Data Science How to use SQL with Pandas?

Pandas is one of the best data manipulation libraries in recent times.

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Data Science 5 Essential Business-Oriented Critical Thinking Skills For Data Scientists

As Alexander Pope said, to err is human. By that metric, who is more human than us data scientists?

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Big Data Data Science Accelerating Spark 3.0 Google DataProc Project with NVIDIA GPUs in 6 simple steps

Data Exploration is a key part of Data Science. And does it take long?

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Deep Learning Data Science How to run your ML model Predictions 50 times faster?

With the advent of so many computing and serving frameworks, it is getting stressful day by day for the developers to put a model into production .

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Big Data Data Science Awesome Guides The Most Complete Guide to pySpark DataFrames

Big Data has become synonymous with Data engineering. But the line between Data Engineering and Data scientists is blurring day by day.

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Data Science Don’t Democratize Data Science

Every few years, some academic and professional field gets a lot of cachet in the popular imagination.

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Data Science Five Cognitive Biases In Data Science (And how to avoid them)

Recently, I was reading Rolf Dobell’s The Art of Thinking Clearly, which made me think about cognitive biases in a way I never had before.

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