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Creating Interactive and Animated Charts with ipyvizzu

Analytics Vidhya

With the growing importance of data science and machine learning, data analysis holds a special place in […] The post Creating Interactive and Animated Charts with ipyvizzu appeared first on Analytics Vidhya.

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Interactive Widget-Based Hyperparameter Tuning and Tracking in Pywedge

Analytics Vidhya

Introduction Machine Learning is an iterative process and the Model building. The post Interactive Widget-Based Hyperparameter Tuning and Tracking in Pywedge appeared first on Analytics Vidhya. ArticleVideos This article was published as an entry for the Data Science Blogathon.

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Machine Learning Reveals New Phase of Solid Hydrogen

Analytics Vidhya

Scientists have used computer simulations to study how hydrogen atoms interact and combine to form different phases of matter. However, capturing the complete quantum behavior of […] The post Machine Learning Reveals New Phase of Solid Hydrogen appeared first on Analytics Vidhya.

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A Guide to Understanding Interaction Terms

Analytics Vidhya

Introduction Interaction terms are incorporated in regression modelling to capture the effect of two or more independent variables in the dependent variable. These are also […] The post A Guide to Understanding Interaction Terms appeared first on Analytics Vidhya.

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Managing risk in machine learning

O'Reilly on Data

As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Let’s begin by looking at the state of adoption.

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Create Interactive Dashboards with Streamlit and Python

Analytics Vidhya

The post Create Interactive Dashboards with Streamlit and Python appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Introduction In Data Visualization, Dashboard is the great Graphical User Interfaces that.

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Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies.