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Machine Learning Problems: The Easy Parts

Contify

As a programmer with data science background, my attention is invariably caught by the real-world situations where machine learning algorithms have made a difference, for example: email spam filtering, news categorization, review based recommendations, social media sentiments etc. just rephrased. It’s a constant learning process.

article thumbnail

Machine Learning Problems: The Easy Parts

Contify

As a programmer with data science background, my attention is invariably caught by the real-world situations where machine learning algorithms have made a difference, for example: email spam filtering, news categorization, review based recommendations, social media sentiments etc. just rephrased. It’s a constant learning process.

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Handling Outliers Using Smarten Assisted Predictive Modelling!

Elegant BI

Smarten Insight provides predictive modeling capability and auto-recommendations and auto-suggestions to simplify use and allow business users to leverage predictive algorithms without the expertise and skill of a data scientist. 10. Better data beats fancier algorithms. Become one with the data!

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Top 10 Analytics And Business Intelligence Trends For 2020

Datapine Blog

According to Gartner, poor data quality is estimated to cost organizations an average of $15 million per year in losses. Solutions such as an AI algorithm based on the most advanced neural networks, provides high accuracy in anomaly detection as it learns from historical trends and patterns.