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Articles related to "practice"


A North Korean Defector’s Tale Shows Rotting Military

  • SEOUL—They were supposed to represent North Korea’s fighting elite.
  • Dispatched to Korea’s demilitarized zone roughly three years ago, Roh Chol Min was a new recruit on the front lines.
  • He sized up his fellow 46 soldiers in the unit and saw men like himself: tall, young and connected.
  • Mr. Roh had won the coveted position, in the late summer of 2017, owing to his sharpshooting skills and height; at 5-feet-8-inches he is unusually tall for North Korea.
  • But when he attended his first target practice, he was stunned.

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Task Cheatsheet for Almost Every Machine Learning Project

  • It guides you through the next steps and pushes you to check if every task has been executed successfully or not.
  • Sometimes, we struggle to find the starting point, the checklist helps you elicit the right information(data) from the right sources in order to establish relationships and uncover correlational insights.
  • In most cases, this step can be executed before the first step if you have the data with you and you want to define the questions(problem) around it to make better use of the incoming data.
  • For an application to be deployed in production, this step should be automated by developing data pipelines to keep the incoming data flowing into the system.
  • It’s time to execute the findings of the previous step by defining functions for data transformations, cleaning, feature selection/engineering, and scaling.

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Canadian scuba divers find prehistoric industrial complex under water in Mexico

  • It was a simple stroke of serendipity that led to the discovery in Mexico of the earliest underground ochre mine in the New World, which a new journal article describes as a vast prehistoric industrial complex as much as 12 millennia old, where Paleonindians prospected for the valuable red iron-rich mineral that is a major factor in human evolution.
  • In 2018, the discovery of two infants ceremonially buried in Alaska 11,500 years ago was held up as further evidence for the theory that humans, after becoming anatomically modern in Africa and spreading across Asia, slowly and fitfully migrated from Siberia via Alaska into all of the Americas, some via Pacific coastal waters, others through inland routes depending on glacial activity.
  • It is there in Blombos cave in South Africa, where pieces of ochre pigment along with carved bone tools and decorative etchings seem to indicate homo sapiens was thinking abstractly as early as 70,000 years ago.

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Task Cheatsheet for Almost Every Machine Learning Project

  • It guides you through the next steps and pushes you to check if every task has been executed successfully or not.
  • Sometimes, we struggle to find the starting point, the checklist helps you elicit the right information(data) from the right sources in order to establish relationships and uncover correlational insights.
  • In most cases, this step can be executed before the first step if you have the data with you and you want to define the questions(problem) around it to make better use of the incoming data.
  • For an application to be deployed in production, this step should be automated by developing data pipelines to keep the incoming data flowing into the system.
  • It’s time to execute the findings of the previous step by defining functions for data transformations, cleaning, feature selection/engineering, and scaling.

save | comments | report | share on


Task Cheatsheet for Almost Every Machine Learning Project

  • It guides you through the next steps and pushes you to check if every task has been executed successfully or not.
  • Sometimes, we struggle to find the starting point, the checklist helps you elicit the right information(data) from the right sources in order to establish relationships and uncover correlational insights.
  • In most cases, this step can be executed before the first step if you have the data with you and you want to define the questions(problem) around it to make better use of the incoming data.
  • For an application to be deployed in production, this step should be automated by developing data pipelines to keep the incoming data flowing into the system.
  • It’s time to execute the findings of the previous step by defining functions for data transformations, cleaning, feature selection/engineering, and scaling.

save | comments | report | share on


How I Moved from Physics to Data Science

  • To meet this demand, hundreds of courses are open, and the internet is swarmed with learning materials to help you get into the Data Science world (like here or here).
  • Don’t believe me, let’s take a look at typical daily jobs of a Physicist and compare it with a Data Scientist.
  • After 3 months and 3 competitions, I have learned enough about data processing, features engineering, and model building.
  • So, by the end of the 4th competition, I left Kaggle to start working on my own Data Science projects.
  • Overall, I did 3 Data Science projects: one with classical machine learning (see code here), another with computer vision (see code here), and then one with natural language processing (NLP) (see code here).
  • The time I completed the third project marked exactly one year since I started learning Data Science.

save | comments | report | share on


How I Moved from Physics to Data Science

  • To meet this demand, hundreds of courses are open, and the internet is swarmed with learning materials to help you get into the Data Science world (like here or here).
  • Don’t believe me, let’s take a look at typical daily jobs of a Physicist and compare it with a Data Scientist.
  • After 3 months and 3 competitions, I have learned enough about data processing, features engineering, and model building.
  • So, by the end of the 4th competition, I left Kaggle to start working on my own Data Science projects.
  • Overall, I did 3 Data Science projects: one with classical machine learning (see code here), another with computer vision (see code here), and then one with natural language processing (NLP) (see code here).
  • The time I completed the third project marked exactly one year since I started learning Data Science.

save | comments | report | share on