Tag

transforming

Working with Dataframes in Julia

An excerpt from Julia for Data Analysis by Bogumil Kaminski

This article dives into working with data in dataframes with Julia.

Read it if you’re a data scientist or anyone who works with lots of data, and if you’re interested in the Julia language.

Vectorizing Your Code using Broadcasting

An excerpt from Julia for Data Analysis by Bogumil Kaminski

Many languages designed for doing data science provide ways to perform vectorized operations, which is also often called broadcasting. In Julia, broadcasting is also supported. In this article you will see how to use it.

Read it if you’re a data scientist or anyone who works with lots of data, and if you’re interested in the Julia language.

Using Multiple Dispatch in Julia

An excerpt from Julia for Data Analysis by Bogumil Kaminski

This article shows you how to use Multiple Dispatch in Julia.

Read it if you’re a data scientist or anyone who works with lots of data, and if you’re interested in the Julia language.

Applying VACUUM to Data

From Cloud Native Machine Learning by Carl Osipov

The goal of this article is to teach you the data quality criteria you should use across any machine learning project, regardless of the dataset. This means that this part deals primarily with concepts rather than code.

Leverage Cloud-Based Machine Learning Services

From Serverless Machine Learning in Action by Carl Osipov

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