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Articles related to "different"


Moving to Germany as an Australian (2016)

  • I always had my heart set on Germany as I always enjoyed the food and beers (at least from my experience eating in German restaurants in Australia), the German engineering marvels, German cars and German history.
  • I thought it’d be useful to make a list of things different between Australia and Germany for people considering the move.
  • Owning or hiring a car is a good option to get around Germany and Europe as the trains can be as expensive as flights (though there’s a big difference in trains between here and Australia).
  • For example, on Sundays, it’s normal for all shops to be closed except for servos (there’s a confusing word for Germans) and corner-stores (which are rare compared to the frequency that they’re found in Australia).
  • One thing that can catch you out when programming is the German layout keyboard - it’s different to the US standard layout.

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Moving to Germany as an Australian (2016)

  • I always had my heart set on Germany as I always enjoyed the food and beers (at least from my experience eating in German restaurants in Australia), the German engineering marvels, German cars and German history.
  • I thought it’d be useful to make a list of things different between Australia and Germany for people considering the move.
  • Owning or hiring a car is a good option to get around Germany and Europe as the trains can be as expensive as flights (though there’s a big difference in trains between here and Australia).
  • For example, on Sundays, it’s normal for all shops to be closed except for servos (there’s a confusing word for Germans) and corner-stores (which are rare compared to the frequency that they’re found in Australia).
  • One thing that can catch you out when programming is the German layout keyboard - it’s different to the US standard layout.

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Less than an hour with my laptop showed me exactly why it's so important to shop around for car insurance

  • There's a lot that goes into pricing car insurance premiums — don't let one company's formula cost you more than you need to pay.
  • Consumer Reports data shows that State Farm is one of the more affordable car insurance companies in Washington, so I figured I'd give it a shot.
  • This quote from State Farm for a comparable $25/$50/$10 policy was over $100 cheaper than Progressive's, but that still seemed high.
  • Every car insurance company takes a different look at factors like driving history and credit scores.
  • Lastly, I wanted to try a pay-by-mile insurance company, so I tried Metromile.
  • But, Metromile's quote was still $1,148 for a $50/$100/$25 policy based on 800 miles per month, about $118 cheaper than State Farm's unlimited mile coverage.
  • Car insurance policies are truly individual, and every one costs each person a different amount.

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What AI analysis of placentas can teach us about childbirth and health

  • When combined with AI, this is paving a way for devices that can monitor a patient’s health closely and inform them before a healthcare situation escalates any further — we are in an era of preventive medicine.
  • Recent research by the Pennsylvania State University revealed the magical use case of artificial intelligence in analyzing placentas.
  • The technology in the research quintessentially uses artificial intelligence to analyze the image of each side of the placenta after delivery.
  • Even though there has been some past research in the field, the computerized image analysis model harnesses the best of artificial intelligence along with a comprehensive dataset to make multiple decisions at the same time.
  • Ultimately the goal of the AI study is not to replace pathologists but to assist them to make better and faster decisions so the mother and child receive adequate healthcare support when needed.

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#helpCharm the Python: Lambdas

  • Lambda functions are unnamed functions.
  • This means it is not defined like a normal function.
  • Defining lambdas is similar to defining a regular function, but it has a different syntax.
  • Notice, both take args a and b, then add them together.
  • The only difference is that the first one is defined as a function.
  • Lambda functions can be used inside of other functions.
  • Note: Lambdas are not something I'm really comfortable with.
  • For more details check out this thorough article about Lambdas in Python.

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Six Sigma Gage R&R Analysis with R

  • For a measurement system to be accurate, the contribution of the gage R&R variability to the total variability should be lower than 10%.
  • For the following example, let’s consider a case where a battery manufacturer measures the voltage of three different batteries (parts), with two different voltmeters (appraisers), three different times (replicates).
  • This combination of results (i.e. small number of categories and a large percentage of variability), represents the worst case scenario for a measurement system.
  • The SixSigma R package represents a great tool that allows performing gage R&R analyses with just a few lines of code.
  • If you found this article useful, feel welcome to download my personal codes on GitHub. You can also email me directly at [email protected] and find me on LinkedIn. Interested in learning more about data analytics, data science and machine learning applications in the engineering field?

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Six Sigma Gage R&R Analysis with R

  • For a measurement system to be accurate, the contribution of the gage R&R variability to the total variability should be lower than 10%.
  • For the following example, let’s consider a case where a battery manufacturer measures the voltage of three different batteries (parts), with two different voltmeters (appraisers), three different times (replicates).
  • This combination of results (i.e. small number of categories and a large percentage of variability), represents the worst case scenario for a measurement system.
  • The SixSigma R package represents a great tool that allows performing gage R&R analyses with just a few lines of code.
  • If you found this article useful, feel welcome to download my personal codes on GitHub. You can also email me directly at [email protected] and find me on LinkedIn. Interested in learning more about data analytics, data science and machine learning applications in the engineering field?

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CI/CD tools compared: CircleCI and Travis CI vs. major CSPs

  • A pipeline can have multiple jobs that run on different build agents running different operating systems (Linux, Windows, or MacOS), with support for a variety of languages and runtimes.
  • There are three Amazon-managed containers that provide Linux or Windows builds, each of which comes pre-installed with a variety of runtimes and languages ready to use.
  • Each of the tools in this article offers different ways to get a new CI/CD pipeline set up, including hand-coding a YAML file or running through a visual web-based wizard.
  • The cloud service provider tools include web-based interfaces that are a little more detailed and allow you to design your pipeline a bit more at the outset.
  • The Azure Pipelines interface is particularly powerful, given how it tries to detect what tools and configurations your application uses based on your source code.

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A Card Game for Teaching Machine Learning

  • I have developed a card game for my students to help them understand the important principles of machine learning.
  • The students discover the most important ideas in a playful way and develop a feeling for the functioning of machine learning procedures.
  • The task is to divide the cards into 4 groups, which the students think to belong together.
  • The task of the students is, therefore, to assign which of the 4 groups from task 1 belongs to which class of objects.The additional cards stand for a labeled dataset and the task clarifies the principle of supervised learning.
  • The player with the card with the highest number of vertical lines wins the round and receives all 4 cards.
  • (This can be judged by 2 of the players.) - If there are more cards of the trump category in the round, the trump card with the most lines wins.

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Six Sigma Gage R&R Analysis with R

  • For a measurement system to be accurate, the contribution of the gage R&R variability to the total variability should be lower than 10%.
  • For the following example, let’s consider a case where a battery manufacturer measures the voltage of three different batteries (parts), with two different voltmeters (appraisers), three different times (replicates).
  • This combination of results (i.e. small number of categories and a large percentage of variability), represents the worst case scenario for a measurement system.
  • The SixSigma R package represents a great tool that allows performing gage R&R analyses with just a few lines of code.
  • If you found this article useful, feel welcome to download my personal codes on GitHub. You can also email me directly at [email protected] and find me on LinkedIn. Interested in learning more about data analytics, data science and machine learning applications in the engineering field?

save | comments | report | share on