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10 Python Math & Statistical Analysis One-Liners

KDnuggets

This one-liner bins your data into ranges and finds the most populated interval, revealing where your values cluster most densely. Her areas of interest and expertise include DevOps, data science, and natural language processing. most_frequent_range = Counter([int(x//10)*10 for x in numbers]).most_common(1)[0]

Python 282
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8 Ways to Scale your Data Science Workloads

KDnuggets

Serverless for Apache Spark lets you run Spark code, including jobs using libraries like XGBoost, PyTorch, and Transformers, without having to provision a cluster. This allows you to run SQL across logs from all your services to diagnose issues, track performance, or analyze security events.

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Forget Streamlit: Create an Interactive Data Science Dashboard in Excel in Minutes

KDnuggets

Go to the PivotTable Analyze tab >> select Pivot Chart >> select Clustered Column. Add data labels: Expand Chart Elements >> click Data Labels. Regional Performance Column Chart Select the Regional pivot table. Format: Title: Sales by Region. Different colors for each region. Data labels on top of columns.

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5 Error Handling Patterns in Python (Beyond Try-Except)

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app.

Python 225
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Large Language Models: A Self-Study Roadmap

Flipboard

Step 1: Cover the Fundamentals You can skip this step if you already know the basics of programming, machine learning, and natural language processing. The key here is to focus on concepts like supervised vs. unsupervised learning, regression, classification, clustering, and model evaluation. So, lets get started.

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How Untold Studios empowers artists with an AI assistant built on Amazon Bedrock

AWS Machine Learning Blog

The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The incoming event from Slack is sent to an endpoint in API Gateway, and Slack expects a response in less than 3 seconds, otherwise the request fails. Sonnet model for natural language processing.

AWS 85
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Predictive modeling

Dataconomy

Predictive modeling is a mathematical process that focuses on utilizing historical and current data to predict future outcomes. By identifying patterns within the data, it helps organizations anticipate trends or events, making it a vital component of predictive analytics.