Main Prerequisites For Machine Learning
This post contains the main prerequisites for getting started with "Machine Learning".
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1- English
Yes, you might find it very strange, but most of the times you will not find any videos or courses in your language to explain a specific problem you are dealing with, so at this time you have to search for a book, website, blog, or research paper or you might find only English videos to find a solution or an explanation for that problem.
For Reading: I suggest reading any novel for "Holly Black".
Offline Desktop Dictionary: https://wordweb.info/
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2- Python
Python is a general purpose and high level programming language. You can use Python for developing desktop GUI applications, websites and web applications.
Udacity:
El-Zero: (Arabic) Mastering python
Advanced: NumPy, Pandas, Matplotlib
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3- Statistics
Statistics is a form of mathematical analysis that uses quantified models, representations and synopses for a given set of experimental data or real-life studies. Statistics studies methodologies to gather, review, analyze and draw conclusions from data.
"The Great Sebastian_Thrun course"
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4- Linear Algebra
Linear algebra is about linear combinations. That is, using arithmetic on columns of numbers called vectors and arrays of numbers called matrices, to create new columns and arrays of numbers. Linear algebra is the study of lines and planes, vector spaces and mappings that are required for linear transforms.
"If you are good with it, skip to the next!"
Udacity: Linear Algebra Refresher Course
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5- Read About ML
Start reading some articles and posts about what is Machine Learning and what is it used for?!
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Of course, there are other resources and tutorials for learning these topics, but it is okay to start with these mentioned in the post then add more to your knowledge.
Thanks For Reading
Muhammad Nassef
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