How do I get started with Machine Learning?
Where should I begin, if I do not have a background in math?
I am thinking to learn a tool for a month, then learn machine learning theory for another two months and start implementing the projects
This is precisely the bottom up approach towards machine learning. This approach would certainly work, but you would not reach your expected results soon. The entire topic of machine learning could be overwhelming with umpteen number of blogs and courses churning content after content. Most content use a bottom up approach of learning the math behind , understanding different algorithms, learning new languages and at last learn machine learning.
This blog post would address a step by step top down and fail fast approach to applied machine learning. Gear up to get started, but remember..
SQL is the simple and easiest form to express analytic. Having to go through a new language could involve a steep learning curve. Also most developers know SQL to start with and it provides quick and easy access to the data.
Understand the process behind solutions to ML problems. In the post Decision Trees with Teradata Aster
have laid down the most common steps of the machine learning process.
Congratulate yourself for having successfully completed the first machine learning workflow on Aster. But the key to Mastery is deliberate practice. it is important to rinse and repeat this process on different dataset across different domains.
Now that you have implemented your machine learning process using Teradata Aster. The next step is to shift gears and understanding what is happening. In the post Decision Trees with Teradata Aster have briefly explained how decision trees work. Diving deep to understand the algorithm and implementation would help you gain more knowledge.
In this post we saw the 5 easy steps to get started with machine learning on Teradata Aster.
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