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Book Review: The Kaggle Book/Workbook

insideBIGDATA

I advise my Intro to Data Science students at UCLA to take advantage of Kaggle by first completing the venerable Titanic Getting Started Prediction Challenge, and then moving on to active challenges. Kaggle is a great way to gain valuable experience with data science and machine learning.

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The Complete Collection of Data Science Books – Part 1

KDnuggets

Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

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30 Best Data Science Books to Read in 2023

Analytics Vidhya

To achieve maximum efficiency, every company strives to use various data at every stage of its operations.

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What is Big Data? Introduction, Uses, and Applications.

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction We produce a massive amount of data each day, whether. The post What is Big Data? Introduction, Uses, and Applications. appeared first on Analytics Vidhya.

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How Big Data Is Shaping HealthCare To Make It Further Affordable, Accurate & Intelligent

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image By fabio on Unsplash What Is Big Data? Big data is a. The post How Big Data Is Shaping HealthCare To Make It Further Affordable, Accurate & Intelligent appeared first on Analytics Vidhya.

Big Data 241
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9 Books Every Data Engineering Aspirant Must Read!

Analytics Vidhya

Did you know that ‘Data Engineer’ is the fastest-growing role in the industry? Currently, most data science aspirants are still focused on landing the. The post 9 Books Every Data Engineering Aspirant Must Read! appeared first on Analytics Vidhya.

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Book Review: Tree-based Methods for Statistical Learning in R

insideBIGDATA

Here’s a new title that is a “must have” for any data scientist who uses the R language. It’s a wonderful learning resource for tree-based techniques in statistical learning, one that’s become my go-to text when I find the need to do a deep dive into various ML topic areas for my work. The methods […]