How to Kickstart Your Machine Learning Journey

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How to Kickstart Your Machine Learning Journey
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• When it comes to pursuing a career in machine
  learning, it is not as simple as learning and
  getting ahead in their careers.
• Beginners are often baffled with innumerable
  learning resources out there.
• Guide that tells precisely where to kick
  start your expertise towards ML
• 1. Maths and Statistics
• 2. Programming
• 3. Application-Oriented Approach

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• Maths and Statistics
• The foremost thing is the skill to comprehending
  problems through a mathematical instinct.
• It may be difficult to master them at the
  beginning but given the time and practice with
  working, these areas will be acquainted and
  comfortable to work on.
• For any ML algorithm to be understood clearly,
  statistics is crucial. Hence, fundamental
  knowledge in stats should be learnt hand in hand.

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• Programming
• For beginners, programming is sometimes appalling
  to learn. Obviously, it might be daunting and
  difficult at first.
• Coming to programming languages in ML, Python
  stands out top due to its usefulness and ease in
  coding.
• Other languages such as R, Julia and Java also
  help in developing ML projects. Ultimately,
  programming should match your math and stat
  knowledge.

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• Application-Oriented Approach
• Many people do the mistake of learning every
  algorithm in ML and forget where it truly helps
  in solving a problem.
• For beginners, it is recommended that they learn
  the popular and standard algorithms.
• A complex algorithm is not always the solution
  for complex applications. It is all about how an
  ML problem is solved optimally.

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