تعلم الذكاء الاصطناعي و تعلم الالة

Introduction

This tutorial provides a comprehensive guide to learning artificial intelligence and machine learning as outlined in Ali Shahin's video. It covers essential subjects, recommended courses, and practical resources to help you navigate this promising field, which is becoming increasingly relevant in Egypt and the Arab world.

Step 1: Build a Strong Foundation in Mathematics

Understanding the mathematical concepts is crucial for mastering AI and machine learning. Focus on the following topics:

• Linear Algebra

  • Resource: Khan Academy - Linear Algebra
  • Additional Videos: YouTube Playlist

• Calculus

  • Resource: Khan Academy - Calculus
  • Additional Videos: YouTube Video

• Statistics and Probability

  • Resource: Khan Academy - Statistics and Probability
  • Additional Videos: YouTube Playlist

• Complete Mathematics Course for Machine Learning

  • Course: Udemy Course

Step 2: Learn Programming Basics

Programming skills are essential for implementing machine learning algorithms. Focus on these areas:

• Python Fundamentals

  • Resource: YouTube Video on Python Basics

• Data Analysis with Python

  • Course: Udemy Course

• Linux Command Line

  • Course: Udemy Course

• SQL Basics

  • Resource: YouTube Video on SQL

Step 3: Dive into Machine Learning

After mastering programming, start exploring machine learning concepts:

• Beginner to Advanced Machine Learning

  • Resource: YouTube Playlist

• Machine Learning in Arabic

  • Resource: YouTube Video

Step 4: Explore Deep Learning

Deep learning is a subset of machine learning that deals with neural networks. Focus on these courses:

• Deep Learning Basics

  • Course: Udemy Course

• TensorFlow for Deep Learning

  • Course: Udemy Course

Step 5: Additional Resources and Courses

Consider taking additional courses to broaden your skill set:

• Mobile App Development Diploma

  • More Info Here

• Web Development Diploma

  • More Info Here

Conclusion

To successfully learn artificial intelligence and machine learning, start with a solid foundation in mathematics and programming, then gradually move into specialized areas such as machine learning and deep learning. Utilize the resources provided in each step to enhance your skills. As you progress, consider exploring additional courses and practical applications to solidify your knowledge. Good luck on your learning journey!