Based on my friend's request , I have begun to write more on it.
So it's been a long time since I have left Data Science in some lurk , but honestly I did struggle a lot to cope up with it. Plus because of timeframes , I scrambled through Data Science initial models , but I couldn't gather a lot except R programming and concepts of Data Science , ML and AI.
Data Science seems a tough hill for me , by tough hill I mean way more time and effort ,
I got busy in work and then somehow , it's been pending , Suprisingly I didn't come across Microsoft Certification Program because that should be the defacto choice for a .Net Developer having spent more than 8 years professionally and 19 years with Microsoft and it's ecosystem.
So I began seeing Microsoft Artifical Intelligence course it seems very exciting , although I remember my stint from GCP (Google Cloud Platform ) , it was a big thing doing some things I did very naturally with SQL or Excel.
https://www.edx.org/course/introduction-artificial-intelligence-1
https://academy.microsoft.com/en-us/tracks/artificial-intelligence/
https://dev.azure.com/rameezahmedsayad/
If one goes through initial videos , this is the high level information one can get .
Machine Learning can be divided into 2 types
Supervised and Unsupervised.
2 corrections: -
1. Reinforced Learning Model
2. Artificial General Intelligence (AGI) and Artificial Narrow Intelligence (ANI)
I had heard about k means algorithm and pcs algorithm but all these come as 1 liners in some maths or physics or some electronics or electrical subjects.
Mostly 1 will recall these will be like eg. or uses of, very rare to get into any algorithm conceptually.
Topics to learn more
on Supervised Learning
Regression
Classification
Unsupervised Learning
k-means clustering
pca principal component analysis
The Azure Machine Learning Studio seems very fancy and seems a nice big toy for the big boys/girls.
It's neatly aligned and very intuitive UI , nice work Microsoft UX Team.
Azure ML Studio
https://studio.azureml.net/Home/ViewWorkspaceCached/3486ccbc93d7477493bc9d65a9ec8fb1#Workspace/Projects/ListProjects
One of the first lessons you will come across is ROC , which gives the accurateness or predictability of your model.
it's a representation of the false postives, true positives, false negatives, true negatives.
ROC curve
I felt I need to learn some algorithms and I found 2 websites geeksforgeeks and leetcode to help.
https://auth.geeksforgeeks.org/user/RameezAhmedSayad
So it's been a long time since I have left Data Science in some lurk , but honestly I did struggle a lot to cope up with it. Plus because of timeframes , I scrambled through Data Science initial models , but I couldn't gather a lot except R programming and concepts of Data Science , ML and AI.
Data Science seems a tough hill for me , by tough hill I mean way more time and effort ,
I got busy in work and then somehow , it's been pending , Suprisingly I didn't come across Microsoft Certification Program because that should be the defacto choice for a .Net Developer having spent more than 8 years professionally and 19 years with Microsoft and it's ecosystem.
So I began seeing Microsoft Artifical Intelligence course it seems very exciting , although I remember my stint from GCP (Google Cloud Platform ) , it was a big thing doing some things I did very naturally with SQL or Excel.
https://www.edx.org/course/introduction-artificial-intelligence-1
https://academy.microsoft.com/en-us/tracks/artificial-intelligence/
https://dev.azure.com/rameezahmedsayad/
If one goes through initial videos , this is the high level information one can get .
Machine Learning can be divided into 2 types
Supervised and Unsupervised.
2 corrections: -
1. Reinforced Learning Model
2. Artificial General Intelligence (AGI) and Artificial Narrow Intelligence (ANI)
I had heard about k means algorithm and pcs algorithm but all these come as 1 liners in some maths or physics or some electronics or electrical subjects.
Mostly 1 will recall these will be like eg. or uses of, very rare to get into any algorithm conceptually.
Topics to learn more
on Supervised Learning
Regression
Classification
Unsupervised Learning
k-means clustering
pca principal component analysis
The Azure Machine Learning Studio seems very fancy and seems a nice big toy for the big boys/girls.
It's neatly aligned and very intuitive UI , nice work Microsoft UX Team.
Azure ML Studio
https://studio.azureml.net/Home/ViewWorkspaceCached/3486ccbc93d7477493bc9d65a9ec8fb1#Workspace/Projects/ListProjects
One of the first lessons you will come across is ROC , which gives the accurateness or predictability of your model.
it's a representation of the false postives, true positives, false negatives, true negatives.
ROC curve
I felt I need to learn some algorithms and I found 2 websites geeksforgeeks and leetcode to help.
https://auth.geeksforgeeks.org/user/RameezAhmedSayad
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