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Basic Statistics Concepts for Machine Learning Newbies!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Statistics is a subject that really matters a lot in. The post Basic Statistics Concepts for Machine Learning Newbies! appeared first on Analytics Vidhya.

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What is Bootstrap Sampling in Statistics and Machine Learning?

Analytics Vidhya

Introduction Have you ever struggled to improve your rank in a machine learning hackathon on DataHack or Kaggle? The post What is Bootstrap Sampling in Statistics and Machine Learning? appeared first on Analytics Vidhya. You’ve tried all your favorite hacks.

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A Beginners Guide To Statistics for Machine Learning!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image Source As Karl Pearson, a British mathematician has once stated, The post A Beginners Guide To Statistics for Machine Learning! appeared first on Analytics Vidhya.

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Some Misconceptions about Machine Learning

Analytics Vidhya

How are the fields of machine learning and statistics related? How important are statistics for machine learning? Is the phenomenal rise of machine learning in recent decades indicate some problems in the fundamentals of statistical theory in […].

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Optimization Essentials for Machine Learning

Analytics Vidhya

The post Optimization Essentials for Machine Learning appeared first on Analytics Vidhya. Where is Optimization used in DS/ML/DL? What are Convex […].

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Machine Learning Paradigms with Example

Analytics Vidhya

Introduction Let’s have a simple overview of what Machine Learning is. Machine Learning is the method of teaching computer programs to do a specific task accurately (essentially a prediction) by training a predictive model using various statistical algorithms leveraging data. Source: [link] For […].

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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.