Sun.Oct 25, 2020

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Accumulated Local Effects (ALE) – Feature Effects Global Interpretability

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. This article happens to be a continuation of my last article on. The post Accumulated Local Effects (ALE) – Feature Effects Global Interpretability appeared first on Analytics Vidhya.

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4 Incredible Benefits Of IoT-Based Indoor Mapping

Smart Data Collective

The IoT is becoming increasingly commercialized. IDC estimates that there will be 41.6 billion IoT devices online by 2025. As the IoT continues to expand, companies across the world are looking for new ways to embrace its potential. One of the most overlooked benefits of the IoT is with indoor mapping. Companies can find a number of useful IoT approaches to achieve this goal.

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Dimensionality Reduction using Factor Analysis in Python!

Analytics Vidhya

“Beauty gets the attention but personality gets the heart”. These lines portray the importance of things which lies beyond our vision. What about a. The post Dimensionality Reduction using Factor Analysis in Python! appeared first on Analytics Vidhya.

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Has Machine Learning Made Cryptocurrencies Traceable?

Smart Data Collective

Machine learning has become a major game changer for the cryptocurrency industry. Most of the benefits are machine learning have been positive for the market. Machine learning is being used to predict price patterns more easily. However, some of these changes are not as welcome. Machine learning is making cryptocurrencies easier to trace. Since their inception, cryptocurrencies have gained popularity in several parts of the world.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.