Computer Science - Data Structures and AlgorithmsIn this paper we study a single player game consisting of $n$ black checkers and $m$ white checkers, called shifting the checkers. We have proved that the minimum number of steps needed to play the game for general $n$ and $m$ is $nm +...
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOP) Theory+Questions, FAANG Interview questions and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The ...
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...
If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. You can skip all the video lectures in this project, unless you'd like a review. Additional language-specific resources here. C++ I haven't read ...
Data Structures Princeton: Algorithms and Data Structures Essential of Data Structures and Algorithms Machine Learning This is the most in-demand cheat sheet among the data community. Whenever I have a machine learning or deep learning interview, I spend a couple of hours revising all of the key...
Computer Science - Data Structures and AlgorithmsDrucker (2012) proved the following result: Unless the unlikelycomplexity-theoretic collapse coNP is in NP/poly occurs, there is noAND-compression for SAT. The result has implications for the compressibilityand kernelizability of a whole range of NP...
The quest for effective resolutions of NP-Complete problems has helped to develop a number oftechniques for algorithm design, usually related to the proposition of subexponential algorithmsthat use properties of special data structures to allow the treatment of larger instances. Whilemany results exist ...
Coverage of topics such as designing storage structures and implementing a variety of indexing schemes. Shows students how to build efficient database management systems. Extensive coverage of query processing and optimisation. Shows students how to fine tune database systems to improve performance. ...
This transformation process involves feature extraction, achieved through the application of algorithms and domain-specific rules [6,7]. The outcome is data that are tailored to address specific research questions or analytical needs. For instance, within a clinical setting, the datamart can convert ...
AI algorithms can sift through data from various sources, including: Monitoring devices Incident reports Health records They can uncover hidden correlations and potential risks. Machine learning models continuously improve and adapt as they learn from new data. It is enabling us to enhance exposure as...