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A Beginner’s Guide to Structuring Data Science Project’s Workflow

Analytics Vidhya

Introduction Asides from dedication to discovery and exploration, to succeed in a Data Science project, you must understand the process and optimize it to ensure that the results are reliable and the project is easy to follow, maintain and modify where necessary. And […].

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Alternative Hyperparameter Optimization Technique You need to Know – Hyperopt

Analytics Vidhya

The post Alternative Hyperparameter Optimization Technique You need to Know – Hyperopt appeared first on Analytics Vidhya. Introduction When working on a machine learning project, you need to follow a series of steps until you reach your goal, one of the.

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Portfolio Optimization using MPT in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post Portfolio Optimization using MPT in Python appeared first on Analytics Vidhya. Introduction In this article, we shall learn the concepts of.

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Sisu Optimizes Analytics with Machine Language for Actions & Decisions

David Menninger's Analyst Perspectives

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

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Neural network and hyperparameter optimization using Talos

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon In terms of ML, what neural network means? The post Neural network and hyperparameter optimization using Talos appeared first on Analytics Vidhya. A neural network.

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Sisu Optimizes Analytics with Machine Learning for Actions & Decisions

David Menninger's Analyst Perspectives

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

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Unbundling the Graph in GraphRAG

O'Reilly on Data

decomposes a complex task into a graph of subtasks, then uses LLMs to answer the subtasks while optimizing for costs across the graph. Entity resolution merges the entities which appear consistently across two or more structured data sources, while preserving evidence decisions. The elements of either store are linked together.