Welcome to the first Machine Learning and Artificial Intelligence Tutorial! In This tutorial, We’ll set up our working environment for Machine Learning. First of all, Let me tell you that there are many great programming languages for Machine Learning/AI development but Python is the best for ML/AI. To begin with Machine Learning you should know at least the basic of Python language. If you need to learn python you can visit here.
Introduction To Machine Learning:
Machine Learning is a subcategory of Artificial Intelligence(AI) that gives the system the ability to automatically learn and improve from the experience without being hard coded. The Machine Learning program learn from the data we provide it in learning section. In future tutorials, we’ll be learning almost all the sections of Machine Learning, Deep Learning and AI.
Why Learn Machine Learning?:
Well, currently AI is the fastest growing area of computer science, big tech giants like Google, Microsoft, IBM etc. spending billions of dollars in AI research. There’s no doubt that in future the knowledge of ML/AI will play a big role and to begin with AI you need to learn Machine Learning then we’ll move on to Deep Learning and AI development.
Anaconda is Python package that comes with all necessary libraries for Data Science and Machine Learning, such as — numpy, pandas, sklearn etc. To download Anaconda visit anaconda.com/download/ and choose your Operating System (I will suggest you to use Linux because it’s the best 😉)
Installation is really simple, just locate the file and install it check the screenshot and follow the steps.
Hit enter again! and you’re done!
If you are a Python developer then I’m sure you know about PyCharm but in case you don’t know, PyCharm is one of the best IDE for Python Development. You can use any IDE you want but I’ll be using PyCharm. To download PyCharm visit jetbrains.com/pycharm/download/, there are two versions of PyCharm Community and Professional. Professional is paid and Community is free you can you any of these versions both will work fine.
Installation is pretty simple just follow steps.
tar xvzf filename.tar.gz
and that’s it!
Now you can try running “Hello, World!” program to test if the installation was successful!
Name your project “test” and hit create.
create python file click OK.
print("Hello, Machine Learning!")
If you face any problem comment down blow! 🙂
The Video Tutorials are Comming Soon! 😀