How to get started with Machine Learning???

Artificial Intelligence!

• Machine Learning is a very interesting topic! There are so many things you can do with machine learning algorithms, such as making a Chatbot, making an Artificial Intelligence that can play games and learn on it's own. There are so many things related to this. Machine Learning is an application for Artificial Intelligence. This provides machines the ability to learn on their past experiences and improve their output and decrease their error rate. This helps machines to get smarter at any work that you want. Mostly ML(Machine Learning) algorithms are used to automate tasks like playing a game.

• Deep Learning is a part of Machine Learning which is way more efficient that normal ML algorithms. Deep Learning mainly works on Neural Networks of which i will talk about later on this blog.

• Neural Networks, these are some kind of neural connections made in a computer, these connections are same as our brain has and even they function the same. Many researches are going on Neural Networks and this technology is still developing but it has improved a lot from the past few years. You may think that creating a Neural Network is very hard and only a math genius can only make one, and if your thinking is like this then you are wrong and you don't know much about ML and AI. Creating a Neural Network is really easy you will not believe but you can make a simple Neural Network with just 20 - 50 lines of code. Neural Network is a huge and complicated topic but if you try to learn it then it is one of the easiest topics in Computer Science.

This was some basic info about AI, ML, Deep Learning and Neural Networks.

Now let's talk about that How you can get started with Machine Learning???

• Learn Python: Python is worls's most popular programming language of which talked in one of my previous blog. There are so many programming languages for Machine Learning but Python is the Industry Standard programming language for Machine Learning. So, you have to learn the basic of Python and try to master it.

• Learn NumPy: NumPy is a Python module developed in C/C++. It is used in Scientific calculations in Python and to do complex calculations performed by your Machine Learning model. You might be thinking that why to use NumPy when Python has it's own Lists, Tuples and Dictionaries, well the answer is that NumPy is way more faster and efficient than Python's default Lists, Tuples and Dictionaries.

• Do deep research: Do deep research on ML, AI and Neural Networks. Search and collect information on it as much as possible because if your theory and concepts are clear then when you will start coding an actual ML project then you will face less isseus. watch tutorials, read blogs, read articles, read documentation and much more.

Now as if all of your concepts are clear then you can finally start coding a Machine Learning program, i will recommend you to first build a basic ML program which will predict output based on several input layer and train it to improve your result.

Yo, you build your very first Machine Learning program from scratch and now just repeat this whole process to be up-to-date and improve your program intelligence =)

Hope this post helped you out!

Enjoy =)