Data Scientist and Analysis

 


Alan Turning provided idea machine learning and started such kind of work in data analysis, self driving car, is doing prediction work which is advance of algorithm so many area revolution way, like a matrices doing in so many place,

TPU, Learning to learn, it's only good the information is there,



Look into it nothing new Just new Name to One old Job nothing else Look around who are those people in King time Look like some sort of clown in the film Turn out to be king of the nation same thing but in digital World the person can change everything don’t what is going on in the world because the data volume is simple to large
You Can’t Understand it what you are thing making such Thing which you can’t Understand how it works in its core simply because it is not a simple working thing it is a story thing
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Looking back on such not so much information blog actually give you a good point to look at other work you did so far without making any thing black and white and notepad of lot of tab work,


The more you write blog the more moment it will make you find them and update them to know more about where such story go better find them in most simple way less post to diversify them more unite them by simply fun moment from any show you think will give a funny way to see them and put in blog post like another good work to add in our analysis to keep flow going on in different blog post as well,


working on lot of work now day make us data originated life work in one way or other way, any thing which convey some understanding is helping us give something life will make a life better in way, we only see as the field is emerging and storytelling way storing and moving it, and do what kind of life to have life in such process and help us understand it's all kind of work as well, blog will help it see another way, as it is also help us to see data while making it, indeed,




causality work in my life, way to see, but not make sense clearly I am not good at this way to think it, one direction is only make it good decision, in bigger scale, small scale work make us wonder how such thing work in bigger scale as well,


Their are lot of thing work, and make us wonder so much? model build on really base with start, we need to check it with reality, so never going to out of business, as data only work when we work on them as honest way possible for that need good data reality check, learning my self I know how data mechanism work as well,

Diversity is critical, without such lack you lack on best thing out their, and that is why this field is for all, who need to work on life as well as the very human thinking and working on life as well,


It's shortest feed back loop to take a change for all,


Transactional and behavioral data, B to B and other data as well, lot of computational data, well being and pleasure also matter, knowing also need good story work to arrive at such knowing also matter, blog work best way if written by self, reading other not give that much real feel how it work and how it come to reality form some data, never know how changing life, now you are knowing it while working on it,



Operational the module you are working on if find the pattern and working on all the challenge and issue, 

Cisco is doing lot of work to open and share what they done and encourage new frame work and data model as they are boxed in old model 



Different type of Data scientist in future, as knowing lot of different thing as integrating and changing work of living normal thing in life now days, they all are different vertical embedding together to work,


Talk to both kind of people totally same thing in different way like this 2% is not useful and that 2% is very useful if stay, like so much work in same kind of situation but thing are totally different like day and night kind of way,



Python and R tensor flow , data analysis don't know what to talk, and what to do and that make sense to each other, and work like they will get something out of all the thing going on, data no come from one area for sure,


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