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The connection between artificial intelligence and human intimacy can often be a controversial topic, and perhaps a subject most would expect to see solely in science fiction movies.
However, taking a step back and looking at the times we’re living in — in which driverless cars, advanced 3D printing,…
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If you know how to create a machine learning decision tree, congratulations, you have the same level of code expertise as ChatGPT and the thousands of other data scientists competing for the job you want.
One fascinating trend among hiring managers lately is that raw coding ability just doesn’t cut…
This week on KDnuggets: A collection of super cheat sheets that covers basic concepts of data science, probability & statistics, SQL, machine learning, and deep learning • An exploration of NotebookLM, its functionality, limitations, and advanced features essential for researchers and scientists • And much, much more!
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Few data concepts are more polarizing than ETL (extract-transform-load), the preparation technique that has dominated enterprise operations for several decades. Developed in the 1970s, ETL shined during an era of large-scale data warehouses and repositories. Enterprise data teams centralized data, layered reporting systems and data science models on top, and…
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In the era of advanced language model applications, developers and data scientists are continuously seeking efficient tools to build, deploy, and manage their projects. As large language models (LLMs) like GPT-4 gain popularity, more people are looking to leverage these powerful models in their own applications. However, working with…
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Machine learning is becoming increasingly popular in the data space. But there’s often a notion that to become a machine learning engineer you need to have an advanced degree. This, however, is not completely true. Because skills and experience trump degrees, always.
If you're reading this, you’re probably new…
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The team at KDnuggets hope you have been enjoying the ‘Back to Basic’ series. To end it off, we have a bonus week for those who want to go that extra mile and increase their knowledge base.
If you haven’t already, have a look at:
Moving onto the bonus week, …
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When you're analyzing data with pandas, you’ll use pandas functions for filtering and transforming the columns, joining data from multiple dataframes, and the like.
But it can often be helpful to generate plots—to visualize the data in the dataframe—rather than just looking at the numbers.
Pandas has…
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In the not-so-distant past, data scientists were tethered to cubicles and confined to physical office spaces. However, times are changing, and the remote work revolution is reshaping the professional landscape.
Today, it is easier than ever to pursue your passion for data science while working from the comfort of…
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Data science is an ever-evolving field, and the constant influx of data makes it a compelling case to solve complex problems with innovative solutions. One such solution that has gained attention in recent times is ChatGPT. This powerful language model, developed by OpenAI, has shown remarkable natural language understanding and…