Deepak Gurram + 1 You can learn data structures and algorithms faster by analysing code source. Print it off and make notes of parts you understand and parts you don't. Then attempt to understand the parts you don't and understand the relationship between the different functions/variables. Try...
Machine Learning, a subset of AI, involves algorithms enabling computers to learn from and make data-based decisions. A good example here is clustering customers based on their purchasing behaviors. Deep Learning, further narrowing down, is a subset of ML that uses neural networks with many layer...
Mastering data structures and algorithms is a transformative journey for any aspiring software engineer. It’s not just about acing technical interviews but also about building a strong foundation for problem-solving in real-world scenarios. Here’s how I navigated the path to mastering these fundame...
Aman, J., Close, D., and Kopec, D. (1999) Panel presentation: "How Should Data Structures and Algorithms Be Taught?" In Proceedings of the Conference on Innovation and Technology in Computer Science Education, ITiCSE'99, Krakow, Poland....
You might also work on an amazing array of computer vision tasks involving image and audio. Whichever sub-task of deep learning you choose, your learning experience will be different. PyTorch uses various approaches and algorithms to solve these tasks, so choosing one beforehand will set the di...
Learn Data Structures and Algorithms in this comprehensive video course: What is Data Structure? Data structure encompasses the organization, storage, and manipulation of data within computer memory. It establishes a methodical and productive framework for managing data, facilitating convenient accessibility...
5 steps to Mastering DSA Mastering DSA as a beginner is simplified into 5 steps: Choose a programming language. Understand time and space complexities. Learn basic data structures and algorithms. Practice a lot. Join competitions to get really good. ...
Learn what are machine learning models, the different types of models, and how to build and use them. Get images of machine learning models with applications.
Learn Programming: Gain proficiency in a programming language such as Python, which is widely used in the AI community. Learn the basics of data structures and algorithms as well. Explore Machine Learning: Start with machine learning, a subset of AI. Familiarize yourself with supervised and unsupe...
Learn about the company. The company’s values, goals, and any major news about it is something. Don’t underestimate the coding questions based on data structures and algorithms. Practice and prepare well for them. Refine your role-relevant skills and create experiences where you demonstrate the...