This book is edited by Li Hui and Chen Yanyan, with associate editors Yang Yu, Gao Yong, Zhang Qiaosheng, Bi Ye, and Liu Dengzhi. It is rich in content, covering 32 theories and 32 practical cases, ...

The website, Claude.AI, however, is great for newbies. Every step of the way, he's there to help if you get stuck. I found it much better than learning from a book. Claude answers the dumbest ...

In 2025, the integration of AI and Python will become increasingly tight. OpenAI's free inference model, o3 - mini, has excelled in areas such as mathematical code generation and physical simulation.

IITs and IIMs have taken up the task of narrowing the digital divide in the country. Today, anyone with a smartphone -- even in Tier 2 and 3 cities can access AI learning and tools, thanks to these ...

Beyond big projects, doing smaller, focused exercises is super helpful. GeeksforGeeks has tons of these, covering everything ...

Another reason self-paced learning is so effective is that it mirrors how professionals work in real life. Data science ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

It comes with lots of Python libraries already set up, so you can start coding right away. You can make your own reusable code modules in Google Colab to save time and keep your projects organized.

Noncovalent interactions (NCIs) is an umbrella term for a multitude of typically weak interactions within and between molecules. Despite the low individual energy contributions, their collective ...