Some Important Questions on Naive bayes Algorithm and their usages in Analytics and Data Science

 

Infographic Descriptive Note on the concept of Flexibility of Amazon Web Services (AWS) Cloud Computing

 

Infographic Descriptive Note on the concept of Cloud Computing , its beginning and history

 

Infographic Descriptive Note on the concept of Cloud Computing , its evolution , usage and revenue models

 

Infographic Descriptive Note on the concept of Physical Security of Amazon Web Services (AWS) Cloud Computing

 

Infographic Descriptive Note on the concept of Physical Security of Amazon Web Services (AWS) Cloud Computing System

 

Infographic Descriptive Note on the concept of "Cost-Effectiveness" as a feature of Amazon Web Services (AWS) Cloud Computing

 

Infographic Descriptive Note on the concept of Flexibility of Amazon Web Services (AWS) Cloud Computing

 

Infographic Descriptive Note on the concept of Cloud Computing , its beginning and history

 

Infographic Descriptive Note on the concept of Cloud Computing , its evolution , usage and revenue models

 

Infographic Short Note on Serverless Computing , Serverless Cloud Computing and Function as a Service(FaaS)

 

Infographic Short Note on Serverless Computing and Serverless Cloud Computing Scenario

 

Why is Artificial Intelligence a big fab hype in the recent IT and computing technology world - a collective article on current standpoint on AI

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Why is Artificial Intelligence  a big fab hype in the IT and technology world

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* The most comprehensible perception about artificial Intelligence in the current technological biome is a distopian future coupled with human-like looking and performing robots and realistic looking holograms that throw a completely realistic idea of a certain picture or scenario in which non-human like androids and droids would be acting and talking like real people and having human-  level or even superhuman intelligence and capablities for performing a task which would be much complex and strenuous to humans . This concept is still beyond the aegis of reality as of now and this term is called as "Artificial General Intelligence(AGI)" and this does not exist anywhere on earth till now as depicted by some high-level CGI based movies in their content .

 

* But what is actually existing as of now is that of a fractional level implementation of Deep Learning which is shortly known as DL which can do some small level specific tasks which are better than people doing the computing task .. one   needs to keep in mind over here is that it is only restricted to computing activity and factory work . Still is believed that there are multiple fundamental level limitations that does not properly get developed into AGI - Artificial General Intelligence (AGI) . So the next level of algorithmic data science and machine learning development is that of innovating the present technology to come up with better networks and better methods for shaping into an artificial Intelligence product .

 

* So inorder to get a bird's eye view of where the development stands at , one might need to look at the following persisting scenarios :

 1)     Where Deep Learning and Reinforcement Learning are standing today

 2)    What are the limitations of Deep Learning and Reinforcement Learning algorithms and  where does the current trend stand at ?

 3)    Underlying principles and applications of Human Neuroscience and human intelligence

4)     A possible architecture to achieve artificial general Intelligence

 

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