Machine learning is one of the trending technologies that everybody wants to learn today. Confused on how to get started with ML? Don’t worry this post will take you through how I got started with learning various ML concepts and how I went from zero to not exactly a 'hero' but let’s say a pivotal character in the same blockbuster! Joke’s apart. I am a final year student from Bangalore and ever since I got to know what ML is all about, I was very keen more about it, but I just couldn’t find the right resources for it. I often would find myself getting lost in various articles which contained complex terminologies and formulas.
Here’s what I did and what helped me grasp all the confusing topics of Machine learing.
1.Workshops
Attending multiple workshops is a great way to ignite your learning spark. You can’t guarantee that you’ll become an expert in the topic instantly after you finish the workshop but you’ll have a strong basic understanding on the topic. The first workshop that I attended was of three-day workshop and it covered topics such as introduction to data science, use cases of ML, introduction to python, various libraries used in data analysis, and hands on experience on building basic ML models. This boosted my confidence towards learning ML.
2.Learn Python
This is the next thing that I did. Got to know the basics of python programming language. It is pretty simple if you have prior programming knowledge and it is very much necessary for you to build various ML models on your own. There are alternative like R programming language, but I prefer python.
- Online courses
Any online courses would great to strengthen your understanding. Let it be courses from any online learning platform, I guarantee you, they will strengthen your understanding and you get to test them bases on the assessments that are available for you to take. Make sure the course has both a bit of theory and hands on videos.
4.Goole it!!
By this time, you’d be pretty confident about all the topic and probably get the feeling that you’ve become a data scientist, but hold on, it’s just the beginning of your journey. Google all the topics, try to understand the math and logic behind everything, go through the API docs, get to know different approaches of solving a problem, get datasets and build your own model and do small projects on the concepts that you’ve learnt so far. If at all you’re able to do that then, kudos, you’ve done very well and you have a very good future in the field of data science. - What next?
If you want to be and expert or ‘hero’ and not just the support character then probably you should start planning for higher studies in this field. Then you can say that you’ve become a data scientist or the hero of our fictional blockbuster.
I hope this small post helps you in getting started and if you’ve in the middle of the journey like me, maybe this gave you a possible potential career path option. Good luck!!