Thursday, 28 January 2021

AI ML - Lay of the land

 what is data science?

interdisciplinary domain - visualization, computation,
statistics, computer science, etc

healthcare domain, social media, ad targetting, algorithmic trading 

all of us use it in some mild version at least.


what is it to be a data scientist?



Math and statistics, computer skills, and domain knowledge.



Data science :

unsupervised 
supervised 
semisupervised 
reinforcement 




Deep Learning :


Supervised - classical Neural Networks (multilayer perceptrons), CNN, RNN
Unsupervised - autoencoders, Boltzmann machines, self-organizing maps

Structured vs Un Structured data :

structured - supervised 
unstructured - can build supervised (sentiment) and unsupervised (clustering)



Artificial Intelligence :

machine-learning - deep learning, predictive analysis
NLP - google translate, clustering, information extraction 
robotics - reinforcement learning 
speech - speech to text, text to speech
expert systems - rule-based system (medical diagnostics)
vision - image extraction, machine vision  


Impact on Industry :


Amazon: frequently bought together 
Netflix: Recommendation system

PS: By no means this is self-explanatory, but this has the keywords one needs to loop up.
create an account on Kaggle!