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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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How to Work on Re-skill Legacy to Recent


How to work on your reskill plan to grow your career from any level. Just you need to learn and be ready with proficiency. Someone will absorb you.



Skills You Need To Grow in Your Career



How to work on Re-skill Legacy to Recent



The popular IT skills you need for the digital age are — ML(Machine Learning), AR (Augmented reality), VR (Virtual reality), AI (Artificial intelligence), and IoT. 


 Skills Rank
 Machine Learning  01
 IoT                             03
 Augmented Reality 04
 Artificial Intelligence 02


That's machine learning, augmented reality, virtual reality, artificial intelligence, and the Internet of Things.


How a COBOL Developer Changed His Career


Ramanujan who has been at TCS for 26 years has himself re-skilled several times — from COBOL to client-server to ERP to cloud, before moving into more stable managerial roles. But the reskilling he's witnessing now is like none he's seen before.

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