I’m writing it nowww…. this is just a general view…I will add some useful websites for path, search, etc

These are the most essential graphs of neural network, i got it from https://www.youtube.com/@DevelopersHutt:

Artificial Intelligence (AI) is a rapidly growing field that touches on various aspects of technology and daily life. Whether you're new to the field or want to deepen your understanding, here’s a guide to help you navigate your AI studies effectively.

1. Establish a Strong Foundation in Programming and Mathematics

Before diving into AI concepts, it’s crucial to have a solid background in both programming and mathematics.

Programming

Python is the most widely used programming language in AI due to its simplicity and extensive libraries. Start by learning the basics of Python, then move on to data manipulation and analysis using libraries such as:

• NumPy: For numerical computations.
• Pandas: For data analysis and manipulation.
• Matplotlib and Seaborn: For data visualization.

Mathematics

AI heavily relies on mathematical concepts, so a solid grasp of the following areas is essential:

• Linear Algebra: Vectors, matrices, and linear transformations are foundational to neural networks and deep learning.
• Probability and Statistics: Understand probability distributions, Bayes’ theorem, and statistical analysis for working with datasets and models.
• Calculus: Derivatives and integrals are essential for understanding optimization in machine learning algorithms.
• Discrete Mathematics: For logical reasoning, algorithms, and graph theory, which are used in various AI techniques.

2. Dive Into Basic AI Concepts and Machine Learning