Mon.Aug 22, 2022

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Tuning Random Forest Hyperparameters

KDnuggets

Hyperparameter tuning is important for algorithms. It improves their overall performance of a machine learning model and is set before the learning process and happens outside of the model.

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Why do product and data teams struggle to work together? | Propel Data Analytics Blog

Propel Data

Product and data teams struggle to work together because there's a tradeoff in data between flexibility, performance and cost-effectiveness.

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KDnuggets Top Posts for July 2022: Machine Learning Algorithms Explained in Less Than 1 Minute Each

KDnuggets

Machine Learning Algorithms Explained in Less Than 1 Minute Each • Free Python Automation Course • Free Python Crash Course • The 5 Hardest Things to Do in SQL • 16 Essential DVC Commands for Data Science • 12 Essential VSCode Extensions for Data Science • Parallel Processing Large • File in Python • Linear Algebra for Data Science.

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What is Data Fabric: Architecture, Principles, Advantages, and Ways to Implement

AltexSoft

The landscape of enterprise data is fragmented. According to Flexera’s 2022 State of the Cloud Report , 89 percent of respondents have a multi-cloud strategy with 80 percent having a hybrid cloud approach in place. Organizations have data stored in public and private clouds, as well as in various on-premises data repositories. How organizations embrace multi-cloud.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Free Python Project Coding Course

KDnuggets

Learn Python by doing Python. Check out this free project-based course to quickly learn how to program in the high-demand language.

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How to Build Data Products Your Company Will Actually Use

Monte Carlo

Across both public and private sectors, more organizations are adopting a “data-driven” mindset—or, at least, data-driven messaging. But in reality, most aren’t prepared for the reality of what it takes to truly make decisions based on data. Teams have to be aligned about what data is used and how decisions are made. Data has to be accessible and available to the right decision-makers at the right time.