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Tag: Jupyter Notebook

7 End-to-End MLOps Platforms You Must Try in 2024 – KDnuggets

Image by Author  Do you ever feel like there are too many tools for MLOps? There's a tool for experiment tracking, data and model...

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Advanced RAG patterns on Amazon SageMaker | Amazon Web Services

Today, customers of all industries—whether it’s financial services, healthcare and life sciences, travel and hospitality, media and entertainment, telecommunications, software as a service (SaaS),...

Enhance performance of generative language models with self-consistency prompting on Amazon Bedrock | Amazon Web Services

Generative language models have proven remarkably skillful at solving logical and analytical natural language processing (NLP) tasks. Furthermore, the use of prompt engineering can...

Getting Started With Claude 3 Opus That Just Destroyed GPT-4 and Gemini – KDnuggets

Image by Author  Anthropic has recently launched a new series of AI models that have outperformed both GPT-4 and Gemini in benchmark tests. With the...

Streamline Your Machine Learning Workflow with Scikit-learn Pipelines – KDnuggets

Image by Author  Using Scikit-learn pipelines can simplify your preprocessing and modeling steps, reduce code complexity, ensure consistency in data preprocessing, help with hyperparameter...

Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service | Amazon Web Services

OpenSearch is a scalable, flexible, and extensible open source software suite for search, analytics, security monitoring, and observability applications, licensed under the Apache 2.0...

Python in Finance: Real Time Data Streaming within Jupyter Notebook – KDnuggets

  In this blog, you will learn to visualize live data streams in real time, all within the comfort of your favorite tool, the...

Jupyter Notebook Magic Methods Cheat Sheet – KDnuggets

After a period of anticipation, KDnuggets is excited to release a new cheat sheet for our community, this time spotlighting the indispensable Jupyter Notebook...

How to Use Amazon SageMaker Canvas to Detect Anomalies in Manufacturing Data | Amazon Web Services

Amazon SageMaker Canvas is a powerful tool offered by Amazon Web Services (AWS) that enables users to easily build, train, and deploy machine learning...

A Comprehensive Guide to Creating Box Plots in Python using Seaborn

A Comprehensive Guide to Creating Box Plots in Python using Seaborn Box plots are a powerful visualization tool that allows us to understand the distribution...

Converting JSONs to Pandas DataFrames: Parsing Them the Right Way – KDnuggets

Image by Author  Diving into the world of data science and machine learning, one of the fundamental skills you'll encounter is the art of...

Preprocess and fine-tune LLMs quickly and cost-effectively using Amazon EMR Serverless and Amazon SageMaker | Amazon Web Services

Large language models (LLMs) are becoming increasing popular, with new use cases constantly being explored. In general, you can build applications powered by LLMs...

Enforce fine-grained access control on Open Table Formats via Amazon EMR integrated with AWS Lake Formation | Amazon Web Services

With Amazon EMR 6.15, we launched AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs), including Apache Hudi, Apache Iceberg,...

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