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JA Smashboard Introduction

The older articles will auto-populate as you scroll down through the page. Whether you run a blog site or news site your visitor will appreciate this simple new way of navigating through the articles. And it works both for blog category view and featured articles view.

You can set it up to load the articles automatically as you scroll down, or manually by clicking on a button.

Welcome to Advance Software

You can even choose to load a number of pages automatically and the rest manually. And it can be easily styled with CSS to fit your design. Instead of the whole site, it will only fetch the actual articles asynchronously, which makes it much more responsive and fast.

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Now it also features improved back functionality, bringing you back to where you left off. If AJAX Infinity is not working after the installation it may be caused by a javascript error on your site. It is in such cases that a data-aware product team is essential for creating a more manageable expectation. To infinity and within…. I have often heard people allude to the idea that because something is in the cloud it is all expansive, infinite in memory and processing power, but this could not be further from the truth.


Firstly, although you can use some pretty insane resources they are not unlimited and are certainly not cheap. Another example may be rather than requesting database resources you may be better off loading your data from a catalogued file storage. Basic programming principals should be followed, algorithms should be well documented, your code should not be repeated and you should only load what you wish to consume.

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  6. Wandering Souls;
  7. Unicorns, rainbows and wizards. I am often asked what is a data scientist?


    Still to this day I am not actually certain. I used to think those crazy geniuses with advanced degrees in mathematics previously called statisticians were data scientists. These days I am torn between two schools of thought. The first being that data science, in general, encompasses all those players who fall within the data spectrum data engineering, machine learning and data analytics somewhat similar to a genealogical species tree.

    Two unpleasant issues about authoring documents with R Markdown

    It is at this point that I wish to highlight a concept previously mentioned: the data triage. This is not a unique concept but in my opinion, the minimum requirement to effectively bring machine learning into production irrespective of product and business teams.

    Machine learning, to efficiently compute the expected outcome, engineering to build the plumbing and analytics to make sure the insights can be fed into the business machine. This concept does, however, come with a few exceptions, most significantly that in some cases unicorns exist.

    The unicorn is an effective hybrid of those three subspecies, a proverbial chosen one who is capable of creating amazing algorithms, attaching all the engineering pipes and deriving its business value over time with ease. Whether you are a unicorn or a member of the data triage I am certain that you will at some stage encounter similar problems to what I have thus far. Hopefully, with the right objectives, a little ingenuousness and the right team you will bring that world dominating AI into production.

    More importantly, a balance between Data and Product needs to be made, such a relationship is often fragile, tenuous and requires consistent vigilance to maintain.