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Top 10 GitHub Repositories to Master Statistics

Analytics Vidhya

Introduction Statistics is a cornerstone of data science, machine learning, and many analytical domains. GitHub hosts numerous repositories that are excellent resources for anyone looking to deepen their statistical knowledge. Mastering it can significantly enhance your ability to interpret data and make informed decisions.

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Understanding deep neural networks

O'Reilly on Data

In this episode of the Data Show , I speak with Michael Mahoney , a member of RISELab , the International Computer Science Institute , and the Department of Statistics at UC Berkeley. On the theoretical side, his works spans algorithmic and statistical methods for matrices, graphs, regression, optimization, and related problems.

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Enhance query performance using AWS Glue Data Catalog column-level statistics

AWS Big Data

Today, we’re making available a new capability of AWS Glue Data Catalog that allows generating column-level statistics for AWS Glue tables. These statistics are now integrated with the cost-based optimizers (CBO) of Amazon Athena and Amazon Redshift Spectrum , resulting in improved query performance and potential cost savings.

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Recent top-selling books in AI and Machine Learning

Rocket-Powered Data Science

Being Human in the Age of Artificial Intelligence” “An Introduction to Statistical Learning: with Applications in R” (7th printing; 2017 edition). These earnings offset the costs of hosting this website.

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Your Modern Business Guide To Data Analysis Methods And Techniques

datapine

To help you understand the potential of analysis and how you can use it to enhance your business practices, we will answer a host of important analytical questions. Conduct statistical analysis. One of the most pivotal types of data analysis methods is statistical analysis. Exclusive Bonus Content: Why Is Analysis Important?

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2021 Data/AI Salary Survey

O'Reilly on Data

We also asked respondents what tools they used for statistics and machine learning and what platforms they used for data analytics and data management. In addition, if you’re familiar with tools and platforms for machine learning and statistics, you know that the boundary between them is fuzzy. Salaries by Tool and Platform.

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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

This interdisciplinary field of scientific methods, processes, and systems helps people extract knowledge or insights from data in a host of forms, either structured or unstructured, similar to data mining. Data science, also known as data-driven science, covers an incredibly broad spectrum.