You-Tube Channel

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Welcome to Mainly The Software Engineering Blog You-tube channel. I started off this blog in 2018. Its main purpose is to provide information in an easy and in an appropriate way. 
From challenges in your field to becoming the best software engineer; this blog covers each and almost everything related to engineering, technology and much more..
Now, the question is WHY ? this You tube channel? 
so, the answer to this very question is that, "This is fun to read and watch a video along". If you want to LEARN in a way to become better then this Blog and Youtube channel is for You.
You can like the corresponding facebook page and subscribe to this channel for more updates....
Thank you!
Face-book page: https://www.facebook.com/seblog1312/


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1-Machine Learning : Start...

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John went to the cafeteria 10 times at 1:00 P.M. on 10 Fridays, each time the cafeteria was closed at that particular time. John decided not to go to cafe at 1:00 P.M. on Friday because the cafe will be closed.  But wait! How did John know that the cafe will  also be closed on next Friday at 1:00 P.M.??? Yes, you are absolutely right.  "John Learned from his Experience that the Task of going to the cafeteria at 1:00 P.M. on Fridays resulted in waste of time, since the cafe was closed on each Friday, so it will Perform the same on the next Friday." In the above scenario, John learned something so we can call it " John Learning ". Similarly, if we replace John with some sort of Machine, that can learn from the Experience or from the History about how the tasks were performed in the past given certain situation. Such that the Machine will perform the same if the same task happen again in near future. Then this will be called as Machine Learning. To mak
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Applications of Data Engineering

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In a previous blog post about data engineering, we went through several many concepts related to data engineering such as data modeling, and then we went through different types of databases, for example, relational databases and we also got a glimpse of relational as well as NoSQL databases. And in today's blog post we will be writing about data engineer applications. Which are basically the use cases of data engineering 1st let's see what data engineering applications mean; so basically when we have data and we have engineered it then there are several things that we can do with that data and these things that we can do with processed data are the use cases of the data engineering. For example: If we have filled our containers with the data then it's not of any good use if it is not clean and well-formed. If your data is well-formed and if there are no logical mistakes, missing values, and garbage then we can easily perform the use cases and applications of data enginee
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