more so these days with innovation in technology. Data Structures and algorithms form the ultimate foundation of programming. They are very useful in solving real world complex problems. That’s precisely the r
Once you have some idea about data structure and algorithms, there is a great resource at Data Structure Visualizations that lets you learn through animation. There are many visualizer tools, however you can use Data Structure Visualization (usfca.edu). Important: You cannot learn DSA without de...
Amazon, Apple, Goldman Sachs, Google, Meta, Microsoft, Netflix tech interview questions quananhle.github.io/Data-Structure-and-Algorithms/ Topics python java mit-license algorithms-and-data-structures Resources Readme License MIT license Activity Stars 26 stars Watchers 2 watching Forks ...
Introduction to the Course Welcome to the first module in the second course of our Intermediate Java Programming Specialization. We'll start with introductions again: to ourselves, the Google engineers, and the structure of the course. After the introduction we'll have a short warm up to get ...
These systems do not just respond to prompts; they evaluate, revise, and reflect on their actions, often using past experiences to guide current decisions. But to solve more complex, multi-step problems, agents need structure. That’s where hierarchical and recursive designs come into play. ...
mr-mig/every-programmer-should-know-https://github.com/mr-mig/every-programmer-should-know- Don't let the title scare you. This repo covers at a high level things ranging fromCareer TipstoData Structures,Security,ArchitectureandAlgorithms. It's a lot but can be helpful to overview concepts ...
Machine Learning is a subset of data science, where algorithms and mathematical expressions are used to train models so that they can analyze data and do predictive analytics. It may or may not be evolved from a machine or mechanical process. It uses various techniques such as regression, patte...
22. What are some of the properties of clustering algorithms? Any clustering algorithm, when implemented will have the following properties: Flat or hierarchical Iterative Disjunctive 23. What is collaborative filtering? Collaborative filtering is an algorithm used to create recommendation systems based ma...
Explore supervised and unsupervised machine learning algorithms. Try out tools like scikit-learn, TensorFlow, or PyTorch. 3. Month 4–5: Learn databases and big data tools Master SQL for querying databases. Understand how to work with cloud platforms (AWS, Google Cloud) and big data frameworks ...
A multi-structure multi-run range (MSMRR) approach for using machine learning with constrained data in pavement engineeringby M K Nivedya & Rajib B Mallick Prediction of PM2.5 concentration based on multi-source data and self-organizing fuzzy neural...