If You have same question like many of us have How to learn Artificial Intelligence or Machine Learning fast ? is there any easy or fast way to learn Artificial Intelligence or Machine Learning ?. So don't worry I am here to solve your query in a easy way that every Technical or Non-Technical human being can understand.
So Let's See...
How to get Started ? :
So this is very common question that everyone asked to me or they send me mails most of them ask same question like many of you have How to get started with Artificial Intelligence or Machine Learning ?.
So I just wanna tell you one thing that there is no best answer for this, Because everyone's learning path are different or unique, so don't follow the someone else path, make your own and follow it. This is not important How or Where you should start, the important thing is Why you want start ?.
Read Also : Artificial Intelligence and Machine Learning for Beginners.
Start with your own Why ? :
- Why you want to learn these skills or technologies ?.
- Do you want to make money ?
- Do you want to build something ?
- Do you want to boost your career ?
- Do you want to switch your career ?
- Do you want to make a difference ?
So when you find out your own Why, then you can start learning these skills with your Why, But remember there is no right or wrong point above, all points are right or wrong in their own way. So keep the thing in your mind.
Where to get started ? :
I try to serve you all the best thing that i already tested, I find out some courses, I only recommended those things which i already tried, But you should follow the given roadmap step by step.
All these courses are universal so you must have proficiency in English.
- Treehouse - for Introduction of Python.
- Udacity - for Introduction for Deep Learning & AI (Nanodegree).
- Coursera - for Deep Learning (Andrew Ng).
Some of the courses are free but if you want to get certificate some of them become paid. All the courses are world level, so you will not face any language problem with these courses.
If you are absolute beginner you should go with some basic course Introduction of Python, When you understand the basic fundamentals of Python, then you should do a lot of practices, When you are a little bit confident then you can start with Introduction of Data Science, Machine Learning & Artificial Intelligence. Its a better way to learn these skills in a efficient way otherwise its up to you.
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Prerequisite : Only Proficiency in English #Hahahaha
Output :
If you don't have any idea what you are gonna learn while you are passing out these courses. So don't worry about it i am here to tell you everything : Please click here or the given link below to understand what actually you will learn after finished these courses.
Prerequisite for Artificial Intelligence and Machine Learning !
What does ML engineer do ? :
Do you every think about What actually Machine Learning engineers do ?, If Yes then you probably think that a Machine Learning engineers always surrounded by the robots that have red eyes. If Yes then i am sorry but you are wrong. Don't worry most of us think same thing about Machine Learning engineers work ?. It's not true here i am gonna tell you few things about ML engineers everyday task, What every ML engineer ask themselves daily. Let's take a look.
Context :
How Machine Learning can be used to help learn more about your problem ?, These problem gonna solved by an machine learning engineer.
Data :
When you need more data in a different-different form like text, graph, image, videos etc. What you will when data is missing. what would we do. How to make this data safe or accessible ?. These kind of task every Ml engineer try to solve daily.
Modeling :
In modeling we decide which model should we use ? Does it work well too ?, This kind of thing we did in modeling.
Production :
Production is also a import thing for machine learning engineers, here we decide How can we take our model to production ?, in production we always confused that should it be online mode or should it be updated at the time intervals ?.
Ongoing :
When we finished production step than we jump to the last step that is ongoing, here we try to fix some common error like what happens if our model breaks ?, How can we improve it with more data ?, and also try to find out the better way of doing this things.
So I hope you get your answer. If not then let me know What is the problem with you ?. But if Yes then comment box is free for you.
Hey It's very easy and simple way.
ReplyDeleteNice post @Aman Singh Rajawat
ReplyDeleteThis is great and exciting especially you make so simple more than the way I do pictured engineering
ReplyDeleteAwesome Article with Nice explanation
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Awesome article and thanks for sharing with us
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