Machine Learning is the new hype of IT industry and everyone is talking about it. I started learning ML a couple of months back.
I did some hello world models using Python and Microsoft. Spent some time to learn Python(which is fairly easy task), completed a certification and spent descent amount of time.
But even after spending a month, all i knew is some terms with no knowledge. I was not confident that i could handle it.
Although i am still learning but now i understand what machine learning is. It could be done in R, Python, Microsoft or any other. Learning a language or tool is the easiest part of ML, its the concepts that matters.
After doing hands on the language of choice, you would have answer the critical questions like which algorithm to use or which cleansing method to use and lot more.
The pie chart below lists all the things that needs to be done for any ML model.
I will try to cover all the important concepts in this series of articles, which i would feel are important for beginners.
P.S.: You do not have to be good in stats( and you can learn basics during practice), as 99% of us would never need to write a new algorithm. All we need to do is to understand the problem and decide the right set of algorithms for the solution.
I did some hello world models using Python and Microsoft. Spent some time to learn Python(which is fairly easy task), completed a certification and spent descent amount of time.
But even after spending a month, all i knew is some terms with no knowledge. I was not confident that i could handle it.
Although i am still learning but now i understand what machine learning is. It could be done in R, Python, Microsoft or any other. Learning a language or tool is the easiest part of ML, its the concepts that matters.
After doing hands on the language of choice, you would have answer the critical questions like which algorithm to use or which cleansing method to use and lot more.
The pie chart below lists all the things that needs to be done for any ML model.
I will try to cover all the important concepts in this series of articles, which i would feel are important for beginners.
P.S.: You do not have to be good in stats( and you can learn basics during practice), as 99% of us would never need to write a new algorithm. All we need to do is to understand the problem and decide the right set of algorithms for the solution.
Check interesting topics about Machine Learning Changing the face of Contract Analytics using AI and ML
ReplyDeleteI really appreciate this post and I like this very much. I am waiting for new post here and Please keep it up in future..
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The main motive of the machine learning consulting companies is to spread the knowledge so that they can give more machine learning engineers to the world.
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