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....
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...
Introduction to Data Structures and Algorithms Course Machine Learning Fundamentals with Python Skill Track 2. Develop Your Deep Learning Skills Deep learning is an interdisciplinary field that requires a confluence of skills from various domains. Here's how each skill specifically relates to deep learni...
Recursion is widely used in data structure operations such as tree traversal, sorting algorithms like quicksort and merge sort, graph traversal, and finding solutions to problems like the Towers of Hanoi, the Fibonacci sequence, and many others. Its elegant and intuitive nature makes it a valuable...
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. ...
Unsupervised learning models are a category of machine learning algorithms that deal with data where the target variable (output) is not explicitly provided. Instead, the goal is to find patterns, relationships, or structures within the data itself. Unsupervised learning is commonly used for tasks ...
Data structures.At the heart of algorithms, data structures are the building blocks that allow developers to store information and access it efficiently. Some common data structures are linked lists, binary trees, stacks, queues, and hash tables. ...
Data structures Algorithms Practical experience with APIs, GIT repositories, and experience in writing tests Work experience in role-relevant technologies Personal projects that show skill, initiative, and understanding of design principles Interviewing skills are crucial to getting your dream job and are ...
TheProbabilistic data structures and algorithms(PDSA) are a family of advanced approaches that are optimized to use fixed or sublinear memory and constant execution time; they are often based on hashing and have many other useful features. However, they also have some disadvantages such as they ca...