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Best Machine Learning Book for Beginners

You need a mixof different technologies for Data Science projects. Instead of learning many skills, just learn a few. The four main steps of any project are extracting the data, model development, artificial intelligence, and presentation. Attending interviews with many skills is not so easy. So keep the skills short.
A person with many skills can't perform all the work. You had better learn a few skills like Python, MATLAB, Tableau, and RDBMS. So that you can get a job quickly in the data-science project.
Out of Data Science skills, Machine learning is a new concept. Why because you can learn Python, like any other language. Tableau also the same. Here is the area that needs your 60% effort is Machine learning.  Machine Learning best book to start.

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Hyderabad Based Startup Built Largest Ever Big data Electoral Repository

I was gone through an email from my friend saying that they are creating a Hadoop project to analyze voters data. This project in my view is both academic and research oriented.
hadoop project
The real challenge was extraction of voter info from 2.5 crore PDF pages and translation of the same into English to fuse with other sources. The technology was a big hurdle. 

Hadoop Project

The infrastructure, built especially for the project, included 64 node Hadoop, PostgreSQL and servers that process a master file containing over 8 Terabytes of Data.

Besides, Testing and Validation was another big task. ‘First of a Kind’ Heuristic (machine learning) algorithms were developed for people classification based on name, geography etc., which help in the identification of religion, caste, and even ethnicity.

Data from Sources

“Data from multiple sources like census, economic and social surveys were mapped to polling booths. Simultaneously, external and propriety data sources had to be fused with individual voters’ data,” informed Joshi. 



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Best Machine Learning Book for Beginners

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You need a mixof different technologies for Data Science projects. Instead of learning many skills, just learn a few. The four main steps of any project are extracting the data, model development, artificial intelligence, and presentation. Attending interviews with many skills is not so easy. So keep the skills short.
A person with many skills can't perform all the work. You had better learn a few skills like Python, MATLAB, Tableau, and RDBMS. So that you can get a job quickly in the data-science project.
Out of Data Science skills, Machine learning is a new concept. Why because you can learn Python, like any other language. Tableau also the same. Here is the area that needs your 60% effort is Machine learning.  Machine Learning best book to start.

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