Hi everyone. I recently started this online course: https://www.elementsofai.com/. It's a great introduction to the technical side of AI. You get to make your own models in the second part and can share them with others. It's created by University of Helsinki which also has created a lot of other free high-quality courses: https://www.mooc.fi/en/, including CS and Data Analysis with Python. It even has a Discord channel where you can discuss the matter.

Does Gemini use up-to-date data, like the kind found on Google Search? Or is it trained on older data but augmented with things like the other Google products such as Gmail, Youtube? In what way is it integrated with Google Search? I have seen it uses it to double-check. Is it true that ChatGPT uses only older data of up to a certain period (like some years or months ago)? Also, in Gemini you can upload images and sound. That's something you can't do it ChatGPT, right? So overall, does Gemini have more capabilities? Or is it suited for a different purpose?

What are some high impact ways of using AI for doing good: contributing to solving the world's most pressing problems like (potential) pandemics and climate change? What about researching AI and its safety? How could I get into that field? What about (possibilities of ) bioinformatics? And do you know how AI could impact other scientific research like chemistry and physics? Is it true that research scientist of pretty much all fields will be increasingly relying on data science and AI, and barely doing any "hands-on" work? Could it be a huge advantage then to have skills in computer science, data science and AI?

For this week's video, I decided to go back to the basics and talk about how to properly use classes within your Python projects. I personally know that for most people in data-related fields, this way of writing code doesn't really come naturally to us because we're used to following examples in Jupyter Notebooks. This is how I started as well. But now, I almost never use notebooks anymore and structure all my projects in an Object-Oriented Programming (OOP) way, which is a programming paradigm that focuses on creating reusable and modular code. Classes allow you to define blueprints for creating objects that encapsulate data and behavior. They provide a way to group related data (attributes) and functions (methods) together into a single unit. By using classes, you can create instances (objects) of that class, each with its own unique set of data. In this tutorial, I will show you the very basics of how to get started using classes and conclude with an example of how I use a combination of classes and design patterns to create modular code. Go watch the video here

It seems like the field of AI is very broad, I'm confused about what I should learn after learning Python?