Remove 2023 Remove Azure Remove Data Analysis Remove Data Wrangling
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Watch Our Top Virtual Sessions from ODSC West 2023 Here

ODSC - Open Data Science

ML Pros Deep-Dive into Machine Learning Techniques and MLOps Seth Juarez | Principal Program Manager, AI Platform | Microsoft Learn how new, innovative features in Azure machine learning can help you collaborate and streamline the management of thousands of models across teams.

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Top Data Analytics Skills and Platforms for 2023

ODSC - Open Data Science

Companies have plenty of data at their disposal and are looking for people who can make sense of it and make deductions quickly and efficiently. We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023.

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40 Must-Know Data Science Skills and Frameworks for 2023

ODSC - Open Data Science

The role of a data scientist is in demand and 2023 will be no exception. To get a better grip on those changes we reviewed over 25,000 data scientist job descriptions from that past year to find out what employers are looking for in 2023. However, each year the skills and certainly the platforms change somewhat.

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Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

These communities will help you to be updated in the field, because there are some experienced data scientists posting the stuff, or you can talk with them so they will also guide you in your journey. Data Analysis After learning math now, you are able to talk with your data.

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5 Reasons Why SQL is Still the Most Accessible Language for New Data Scientists

ODSC - Open Data Science

You can perform data analysis within SQL Though mentioned in the first example, let’s expand on this a bit more. SQL allows for some pretty hefty and easy ad-hoc data analysis for the data professional on the go. Imagine combining the data power of SQL with your preferred scripting program.

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Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

Fine-tuning is important for applying domain-specific knowledge to an existing LLM which provides better performance and prompt results Inference Efficiency An emergent skill in late 2023, its inclusion speaks to its importance. series (Davinci, etc), GPT-4, and GPT-4 Turbo are immensely popular.

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How to Use Exploratory Notebooks [Best Practices]

The MLOps Blog

And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. I’ll show you best practices for using Jupyter Notebooks for exploratory data analysis. When data science was sexy , notebooks weren’t a thing yet. documentation.

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