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Working With Databases and SQL in RStudio | R-bloggers

Working With Databases and SQL in RStudio | R-bloggers

% summarise(night_sum = sum(night), ocean_sum = sum(ocean), night_and_ocean_sum = sum(night_and_ocean)) # Source: lazy query [?? x 3] # Database: postgres...

How You Can Use Machine Learning to Automatically Label Data - KDnuggets

How You Can Use Machine Learning to Automatically Label Data - KDnuggets

AI and machine learning can provide us with these tools. This guide will explore how we can use machine learning to label data. By 2025, the volume of global data created,...

The Top 5 Reasons to Become a Data Scientist | 7wData

The Top 5 Reasons to Become a Data Scientist | 7wData

As we inch further into the year, I have seen more and more postings for data science positions, especially on LinkedIn, and other similar job-posting sites. After an expected...

A Quick Overview of Data Engineering | 7wData

A Quick Overview of Data Engineering | 7wData

Machine learning and artificial intelligence, which are at the top of the list of data science capabilities, aren’t just buzzwords; many companies are keen to implement them....

What is synthetic data? Generated data to help your AI strategy

What is synthetic data? Generated data to help your AI strategy

Synthetic data is artificially generated information that can be used in place of real historic data to train AI models when actual data sets are lacking in quality, volume, or...

You Too Can Be a Cybersecurity Data Scientist!

You Too Can Be a Cybersecurity Data Scientist!

Editor’s Note: John is a speaker for ODSC East 2022! Be sure to check out his talk, “You Too Can Be a Cybersecurity Data Scientist!” there! I accidentally became a...

Top 5 Fundamental Concepts of Data Engineering

Top 5 Fundamental Concepts of Data Engineering

Data engineering is a critical part of data science. Most of the time, they occur together in business applications. However, there are some fundamental differences between them...

The Significance of Data Quality in Making a Successful Machine Learning Model | 7wData

The Significance of Data Quality in Making a Successful Machine Learning Model | 7wData

  The Significance of Data Quality in Making a Successful Machine Learning Model Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model...

9 Mistakes Data Scientists Must Avoid | 7wData

9 Mistakes Data Scientists Must Avoid | 7wData

In data science, like many other fields, you learn more by doing than by reading or merely studying the theoretical aspects of the field. Early in your data science career,...

What pisses off data scientists the most 

What pisses off data scientists the most 

Almost half of the work of data scientists who are involved in machine learning production involves re-coding models from Python/R to another language or vice versa. According...

How AI Is Predicting Ice Loss in the Arctic Sea – and How Technology Will Continue to Save the Planet

How AI Is Predicting Ice Loss in the Arctic Sea – and How Technology Will Continue to Save the Planet

Melting ice caps are a staple example of climate change. As they dissipate, sea levels rise, beaches submerge, habitats degrade and... Melting ice caps are a staple example of...

Your Data Initiatives Can’t Just Be for Data Scientists | 7wData

Your Data Initiatives Can’t Just Be for Data Scientists | 7wData

Without buy-in from your company’s rank and file, even the cleverest AI-derived model will sit idle and “data-driven decision-making” will just go around in circles. Companies...

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