Hello Dr. Wei,

The best approach to learning AI depends on your underlying motivation and goals.

If your aim is to build basic AI models to assist with tasks like data analysis and outcome prediction, your primary focus should be on software development:

On the other hand, if your goal is to understand the inner workings of AI—how algorithms function and why they produce certain results—you’ll need a stronger foundation in mathematics. Topics such as calculus (particularly multivariable calculus), linear algebra, and statistics are essential for this deeper level of understanding.

wishing you best of luck on your journey.

Best Regards,

Ziad Rabea

good

Dear Yan Wei ,

AI systems mimic human intelligence by using algorithms and data to perform tasks that typically require human thinking. They learn and improve through exposure to data, identifying patterns and making predictions, much like humans learn from experience. The core of AI involves machine learning, neural networks, and algorithms, which allow computers to analyze data, recognize patterns, and make decisions.

Every time you shop online, search for information on Google, or watch a show on Netflix, you interact with a form of artificial intelligence (AI). The applications of AI are everywhere and will only continue to grow.

From factory workers to waitstaff to engineers, AI is quickly impacting jobs. Learning AI can help you understand how technology can improve our lives through products and services. There are also plenty of job opportunities in this field, should you choose to pursue it.

Learning AI doesn’t have to be difficult, but it does require a basic understanding of math and statistics. In this guide, we’ll take you through how to learn AI and create a learning plan.

https://www.coursera.org/articles/how-to-learn-artificial-intelligence

Regards,

Shafagat

You can start with basic concepts in machine learning and neural networks. Online platforms like Coursera, edX, and Khan Academy offer introductory courses designed specifically for beginners. Look for courses that cover AI principles, including supervised and unsupervised learning, algorithms, and data preprocessing. Additionally, books like "Artificial Intelligence: A Guide to Intelligent Systems" by Michael Nizhnevitsky provide a good overview. Interacting with online communities, such as forums or social media groups focused on AI, can also help you gain insights and ask questions. Finally, exploring practical applications of AI in language acquisition and education can deepen your understanding and make the learning process more relevant to your background.