Kirill Bobrov

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Machine Learning is not just glorified Statistics

People worry that computers will get too smart and take over the world, but the real problem is that they’re too stupid and they’ve already taken over the world. — Pedro Domingos

It feels like Google or Facebook releases a new AI technology every week to speed up or improve…

How to use descriptive statistics to see what the data shows

There are a lot of engineers who have never been involved in the field of statistics or data science. But in order to build data science pipelines or rewrite produced code by data scientists to an adequate, easily maintained code many nuances and misunderstandings arise from the engineering side. For…

Machine Learning is not just glorified Statistics

People worry that computers will get too smart and take over the world, but the real problem is that they’re too stupid and they’ve already taken over the world. — Pedro Domingos

It feels like Google or Facebook releases a new AI technology every week to speed up or improve…

Machine Learning is not just glorified Statistics

People worry that computers will get too smart and take over the world, but the real problem is that they’re too stupid and they’ve already taken over the world. — Pedro Domingos

It feels like Google or Facebook releases a new AI technology every week to speed up or improve…

How to use descriptive statistics to see what the data shows

There are a lot of engineers who have never been involved in the field of statistics or data science. But in order to build data science pipelines or rewrite produced code by data scientists to an adequate, easily maintained code many nuances and misunderstandings arise from the engineering side. For…

How to use descriptive statistics to see what the data shows

There are a lot of engineers who have never been involved in the field of statistics or data science. But in order to build data science pipelines or rewrite produced code by data scientists to an adequate, easily maintained code many nuances and misunderstandings arise from the engineering side. For…

A quick guide on the differences between quantitative and qualitative data

There are a lot of engineers who have never been involved in the field of statistics or data science. But in order to build data science pipelines or rewrite produced code by data scientists to an adequate, easily maintained code many nuances and misunderstandings arise from the engineering side. For…

A quick guide on the basic concepts used to describe data

“Facts are stubborn things, but statistics are pliable”

― Mark Twain

The job of a data analyst is not to come up with a lot of fancy reports containing tons of data as it may first seem. …

A quick guide on the basic concepts used to describe data

“Facts are stubborn things, but statistics are pliable”

― Mark Twain

The job of a data analyst is not to come up with a lot of fancy reports containing tons of data as it may first seem. …

A quick guide on the differences between quantitative and qualitative data

There are a lot of engineers who have never been involved in the field of statistics or data science. But in order to build data science pipelines or rewrite produced code by data scientists to an adequate, easily maintained code many nuances and misunderstandings arise from the engineering side. For…

Kirill Bobrov

helping robots conquer the earth and trying not to increase entropy using Python, Big Data, ML. Linkedin @luminousmen. Check out my blog — luminousmen.com

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