Photo: Analytics India Magazine |
Step 1: Math And Statistics
The first thing is the skill to understanding problems through a mathematical intuition. We would highly recommend starting with basics in linear algebra then gradually moving to calculus. It may be hard to master them initially but given the time and practice with working, these areas will be familiar and comfortable to work on. Another subject that follows math is statistics. For any ML algorithm to be understood clearly, statistics is essential. Hence, fundamental knowledge in stats should be learnt hand in hand.
By now, you might have easily thought of online websites such as Coursera or Udemy. Of course, these are good resources to learn at your own pace. The only hindrance is setting and following self-paced goals.
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Source: Analytics India Magazine