I have researched about Presentation Tips over past few weeks, one Tip that I read again and again is that “Make Fonts larger for readability”. To that end, I just changed the font size of the command line prompt so that when I am presenting, the audience is able to see what I am typing. So If you’ve have to present to audience something via command prompt, this should be of helps:
1. Open command prompt > Right click near the Title bar > select properties
2. switch to font tab > select the font and the size. you can also change the color, layout among other things here.
3. see how it looks:
In this post, we saw how to change the Font size of the windows command prompt.
Once in a while I go back to basics to revisit some of the fundamental technology concepts that I’ve learned over past few years. Today, I want to revisit Data Mining and Knowledge Discovery Process:
Here are the steps:
1) Raw Data
2) Data Pre processing (cleaning, sampling, transformation, integration etc)
3) Modeling (Building a Data Mining Model)
4) Testing the Model a.k.a assessing the Model
5) Knowledge Discovery
Here is the visualization:
In the world of Data Mining and Knowledge discovery, we’re looking for a specific type of intelligence from the data which is Patterns. This is important because patterns tend to repeat and so if we find patterns from our data, we can predict/forecast that such things can happen in future.
In this blog post, we saw the Knowledge Discovery and Data Mining process.
I just researched about Machine Generated Data from the context of “Big data”, Here’s the list I compiled:
– Data sent from Satellites
– Temperature sensing devices
– Flood Detection/Sensing devices
– web logs
– location data
– Data collected by Toll sensors (context: Road Toll)
– Phone call records
And a Futuristic one:
Imagine sensors on human bodies that continuously “monitor” health. How about if we use them to detect diabetes/cancer/other-diseases in their early phases. Possible? May be!
Machine can generate data “faster” than humans. This characteristics makes it interesting to think about to analyze machine generate data and in some cases, how to analyze them in real-time or near real-time
Search for Machine Generated Data, you’ll be able to find much more, it’s worth reading about from the context of Big Data.
Storage cost has drastically decreased. Mathematically, Storage cost has decreased exponentially. No wonder we can store lot’s of data for few dollars and no wonder that the age of Big Data has already arrived!