![](https://eotrx.substackcdn.com/open?token=eyJtIjoiPDIwMjQwNzIxMTMwNTMwLjMuYWNhZWQ2MGFhMzBlMTVjOEBtZy1kMC5zdWJzdGFjay5jb20-IiwidSI6MTU5MjE0ODA0LCJyIjoiYWt1bmt1c3VzQGdtYWlsLmNvbSIsImQiOiJtZy1kMC5zdWJzdGFjay5jb20iLCJwIjoxNDY4NDUzMTksInQiOiJuZXdzbGV0dGVyIiwiYSI6Im9ubHlfcGFpZCIsInMiOjEyODM3NjIsImMiOiJwb3N0IiwiZiI6dHJ1ZSwicG9zaXRpb24iOiJ0b3AiLCJpYXQiOjE3MjE1NjcyNzYsImV4cCI6MTcyNDE1OTI3NiwiaXNzIjoicHViLTAiLCJzdWIiOiJlbyJ9.Vx5uUrfJFKR0wqvbp-VvjgNdD0SXVPeNV2zohrxNOrU)
A few days ago, I had a discussion with an AI consultant who started his activity a year ago after the success of ChatGPT. He perfectly understood the marketing challenges of AI and the productivity issues for companies, but when we started talking about how AI works, he was a bit lost.
͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
| | |
| A few days ago, I had a discussion with an AI consultant who started his activity a year ago after the success of ChatGPT. He perfectly understood the marketing challenges of AI and the productivity issues for companies, but when we started talking about how AI works, he was a bit lost. Yet, this is what makes all the difference. I am quite convinced that the only way to understand the possibilities of artificial intelligence, its future applications, is by first understanding how it works. For this, there's no need to be a math genius. You just need to grasp a few concepts that aren't that complicated to have an understanding of artificial intelligence. Here are the main topics we will cover: Linear Algebra: Vectors and Matrices: Understanding operations with vectors and matrices, such as multiplication, inversion, and linear transformations. Eigenvalues and Eigenvectors: Used in many algorithms, including dimensionality reduction techniques like Principal Component Analysis (PCA).
Calculus: Derivatives and Gradients: Essential for optimization and model training, particularly in gradient descent. Integrals: Used in advanced techniques, such as Bayesian networks and regularization.
Probability and Statistics: Probability Theory: Understanding probability distributions, random variables, expectation, variance, etc. Statistics: Data analysis, hypothesis testing, confidence intervals, regression, and other basic statistical techniques.
Information Theory: Optimization: Numerical Analysis: The goal of this course is to present these concepts simply. To get it, become a Premium member today with a 40% discount dedicated to the launch of this course. In addition to this course, you will receive advanced content on artificial intelligence every week. Get the course Subscribe to AI Dispatch to unlock the rest.Become a paying subscriber of AI Dispatch to get access to this post and other subscriber-only content. A subscription gets you:![](https://substackcdn.com/image/fetch/w_32,c_scale,f_png,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack.com%2Ficon%2FSimpleCheckmarkIcon%3Fv%3D4%26height%3D32%26fill%3D%2523187F22%26stroke%3D%2523187F22%26strokeWidth%3D3.6) | All premium publications, tutorials, and courses | ![](https://substackcdn.com/image/fetch/w_32,c_scale,f_png,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack.com%2Ficon%2FSimpleCheckmarkIcon%3Fv%3D4%26height%3D32%26fill%3D%2523187F22%26stroke%3D%2523187F22%26strokeWidth%3D3.6) | Lifetime access to software developed by IA-lab and partner software. | ![](https://substackcdn.com/image/fetch/w_32,c_scale,f_png,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack.com%2Ficon%2FSimpleCheckmarkIcon%3Fv%3D4%26height%3D32%26fill%3D%2523187F22%26stroke%3D%2523187F22%26strokeWidth%3D3.6) | Private community on Telegram, chat with other members, participate in AI meetups, and more... |
| |
![](https://eotrx.substackcdn.com/open?token=eyJtIjoiPDIwMjQwNzIxMTMwNTMwLjMuYWNhZWQ2MGFhMzBlMTVjOEBtZy1kMC5zdWJzdGFjay5jb20-IiwidSI6MTU5MjE0ODA0LCJyIjoiYWt1bmt1c3VzQGdtYWlsLmNvbSIsImQiOiJtZy1kMC5zdWJzdGFjay5jb20iLCJwIjoxNDY4NDUzMTksInQiOiJuZXdzbGV0dGVyIiwiYSI6Im9ubHlfcGFpZCIsInMiOjEyODM3NjIsImMiOiJwb3N0IiwiZiI6dHJ1ZSwicG9zaXRpb24iOiJib3R0b20iLCJpYXQiOjE3MjE1NjcyNzYsImV4cCI6MTcyNDE1OTI3NiwiaXNzIjoicHViLTAiLCJzdWIiOiJlbyJ9.okR5idCaRpA57FdMqrJv0e5JkkkKbVpIJbAbJYB9oa0)
Tidak ada komentar:
Posting Komentar