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Regarding Big Data, Ease of Use Remains a Huge Problem

For Big Medical Data, I am trying Deeplearning4j. According to edureka (link), this is a Java solution. Further, with the JVM (Java Virtual Machine: link) language, this is compatible; It being open-source shall suit the cost efforts of my 1st economic robot project: collecting human anatomy data. At this time: from my Johns Hopkins University (link) Spring 2021 term classes, I have withdrawn. But I shall return Spring 2022. And in Enterprise and Web Development circumstances (just click on this link: link; press ctrl+f and enter ‘Enterprise and Web Computing’), this language is a good choice because a 600-level course covers Big Data with Hadoop (link).



In my Java background, I have several GitHub repositories (link), I studied a little graduate-level Java (JHU: Swing, Junit, the basics), and I studied Data Structures & Algorithms and Intermediate Programming in Java (Regent University, class of ‘18). But in this case, DeepLearning4j does not provide a simple example: see their official QuickStart for Java using Maven (link).

A GIF of a Deeplearning4j LeNetMNIST.java working example in the Eclipse IDE for Java Developers

While I would like more rapid progress: regarding working, available resources, a search of medical images for Big Data had scarce results. For instance, Google’s Tensorflow tutorial offers education on Big Data for cats. Although cats are often a viral subject, advancing medical technologies shall require serious R&D (research and development). But as a titan, Google’s authority over Cloud Healthcare data raises ethical concerns such as selling wisdom (for more related information, click the following link: here)..


Among the Google search results I found, some public domain content exists, a courtesy of “BHS Library & Knowledge Services”: link. BHS.org goes nowhere. At this point, I am calling it a night: during the day, I have work, and it is already nearly 2:00 AM Chicago time.An image of bhs.org, a broken link.


This is very difficult. I wish Big Data was more approachable because it seems catered more to experienced professionals. As writing a ‘Hello World’ software app, a human anatomy image interface should have been simple (KJV, Romans 14:15).


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