Sure, here are the steps to learn AI from scratch in 2023:

1. **Understand the Basics**: Start by understanding what AI is and its potential applications. Read books, articles, and watch videos on AI. Some recommended books are "Artificial Intelligence: A Modern Approach" and "Artificial Intelligence: Structures and Strategies for Complex Problem Solving".

2. **Learn Mathematics**: AI requires a good understanding of mathematics, especially in areas such as linear algebra, calculus, and statistics. You can find many online courses on these topics.

3. **Learn Programming**: Python is the most commonly used programming language in AI. Start learning Python and get comfortable with it. You can find many online resources to learn Python.

4. **Learn Machine Learning**: Machine learning is a subset of AI. Start learning about different machine learning algorithms. Coursera's "Machine Learning" course by Andrew Ng is a good starting point.

5. **Deep Learning**: After getting comfortable with machine learning, start learning about deep learning. Deep learning is a type of machine learning that uses neural networks with many layers (deep neural networks). Again, you can find many online resources to learn deep learning.

6. **Work on Projects**: The best way to learn is by doing. Start working on small AI projects and gradually move on to more complex projects. This will also help you build a portfolio which can be useful when applying for AI jobs.

7. **Stay Updated**: AI is a rapidly evolving field. Keep learning and stay updated with the latest developments in AI.

Remember, learning AI is a journey. It requires time and consistent effort. Don't rush through the learning process. Take your time to understand each concept thoroughly before moving on to the next.

Question

Sure, here are the steps to learn AI from scratch in 2023:

1. **Understand the Basics**: Start by understanding what AI is and its potential applications. Read books, articles, and watch videos on AI. Some recommended books are "Artificial Intelligence: A Modern Approach" and "Artificial Intelligence: Structures and Strategies for Complex Problem Solving".

2. **Learn Mathematics**: AI requires a good understanding of mathematics, especially in areas such as linear algebra, calculus, and statistics. You can find many online courses on these topics.

3. **Learn Programming**: Python is the most commonly used programming language in AI. Start learning Python and get comfortable with it. You can find many online resources to learn Python.

4. **Learn Machine Learning**: Machine learning is a subset of AI. Start learning about different machine learning algorithms. Coursera's "Machine Learning" course by Andrew Ng is a good starting point.

5. **Deep Learning**: After getting comfortable with machine learning, start learning about deep learning. Deep learning is a type of machine learning that uses neural networks with many layers (deep neural networks). Again, you can find many online resources to learn deep learning.

6. **Work on Projects**: The best way to learn is by doing. Start working on small AI projects and gradually move on to more complex projects. This will also help you build a portfolio which can be useful when applying for AI jobs.

7. **Stay Updated**: AI is a rapidly evolving field. Keep learning and stay updated with the latest developments in AI.

Remember, learning AI is a journey. It requires time and consistent effort. Don't rush through the learning process. Take your time to understand each concept thoroughly before moving on to the next.

Knowee AI · Accepted Answer