How To Learn Machine Learning Basics?
We know why you are here. You also want to explore the skill that’s buzzing currently in the market, Machine Learning (ML). The smart tech behind chatbots, self-driving cars, and Netflix recommendations. After listening to these, you are definitely thinking, like this sounds so thrill and exciting, but the question is where do I even begin?
So, if you are feeling confused, that's normal. Cause no one learned anything from their birth, even the top businessman has, once also started from scratch. Yeah, I know it can sound intimidating at first—such big words, tough and tons of tutorials, complicated math. But the good thing is you don't need to be a genius to start machine learning. What you need is a great mindset, motivated soul, and a right roadmap.
Here, at jobdekhao.com we created this guide to talk to you. Yes, I am talking about you, the curious one reading this with interest. So, let's just finish this out for you.
First, Let's clear the concept of Machine Learning?
In simple term, Machine learning is about teaching computers to learn from data instead of being manually programmed for performing a task. It works like how you learn from your own experiences. For example, if you touch the switchboard and you get a shock experience, you will never touch that again. ML also works the same way. It learns patterns from data and improves over time. So, instead of coding every single time, with this you feed a computer tons of examples, and it figures out the rule to do it on its own, without getting any command. Cool, right?
1: Understand The Why?
Before jumping in, ask yourself, why do you want to learn this skill? Understand your goal, what you eventually want to achieve, and the main thing, clear why you are doing it, like to make a career growth, out of curiosity, to research deeply about it, or to build something unique? Cause it may sound so basic, but having a clear "Why" will help you in staying motivated, even if things don’t go well. And yes, be prepared for things to get tricky, but it's worth it.
2: Learn the Prerequisites
Here, showing some basic points like what you need before diving into machine learning.
(I): Basic Math:
I said basic math, that doesn't mean you have to be pro at it. It's just like you have to be familiar with terms like linear algebra, probability and statistics questions, and calculus, just basic. And let me tell you, tons of free resources are available on the internet to teach you this in a very friendly way.
(II): Programming:
When we are talking about programming, just make Python your best friend, cause this will help you in a-lot skill learning session. Python is the most widely used language in ML, so start learning loops, variables, libraries like NumPy or Pandas, etc. You can learn the basics in just few weeks through some online tutorials and courses.
3: Grasp the Core Concept of ML
Once you have took a grip on basic Python and math, then you will enter in the fun part. Here are the core of machine learning topics to focus on:
(I): Supervised Learning
(II): Model Evaluation
(III): Overfitting Vs. Underfitting
(IV): Training vs. Testing Data
And don't try to be expert in few days. Long lasting learning takes time. Think like you are learning a new language, one concept at a time.
4: Learn how to Think Like a ML Engineer
As you get better with time, then try to think about, what data do you really need and what are the ethical concerns? Sort of stuffs. Machine learning is not about algorithms, it's about problem-solving and making some thoughtful decisions in your project.
It is a deep field and changes fast. You will go through some days where you feel like you are not getting it, but that's okay, even experts go through this feeling sometimes. Just make sure to be consistent anyway, as it can beat anything, and be curious to learn. And if you are stuck in any doubt, you can visit again at jobdekhao.com cause we care for your dream!