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Main Prerequisites For Machine Learning

This post contains the main prerequisites for getting started with " Machine Learning ".  ----------------------  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/    ---------------------- 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 : intro to python programming "ud1110" Programming foundations with python Kaggle:  https://www.kaggle.com/learn/python El-Zero: (Arabic)   Mastering python Advanced:  NumPy ,  Pandas ,  M

Chapter One Summary from the famous book " Hands-On Machine Learning with Scikit-Learn and TensorFlow "

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  About The Book Hands-On Machine Learning with Scikit-Learn and TensorFlow. by Aurélien Géron. To get the latest release :  Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition [Book] (oreilly.com ) Objective and Approach:   This book assumes that you know close to nothing about Machine Learning . Its goal is to give you the concepts , the intuitions , and the tools you need to actually implement programs capable of learning from data. Used Python Frameworks Scikit-Learn:  - easy to use. - it implements many Machine Learning algorithms efficiently. TensorFlow:  - more complex library for distributed numerical computation using data flow graphs. -  makes it possible to train and run very large neural networks efficiently by distributing the computations across potentially thousands of multi-GPU servers. Prerequisites - Python programming experience - NumPy, Pandas, and Matplotlib. -  college-level math as well (calculus, linear algebra, probabilities, and s