How Will You Select Suitable Machine Learning Algorithm For A Problem Statement? If it is a regression problem, then use Linear regression, Decision Trees, Random Forest, KNN, etc. If it is a classification problem, then use Logistic regression, Random forest, XGboost, AdaBoost, SVM, etc. If it is unsupervised learning, then use clustering algorithms like K-means
Can Traveling Sales Man Problem Be Solved With Greedy Algorithms? Also, in a particular TSP graph, there can be many hamiltonian cycles but we need to output only one that satisfies our required aim of the problem. Approach: This problem can be solved using Greedy Technique. Which problems Cannot be solved by greedy algorithm? Explanation:
Can Prims Algorithm Add Edge Cycle? Prim’s algorithm works by attaching a new edge to a single growing tree at each step: Start with any vertex as a single-vertex tree; then add V-1 edges to it, always taking next (coloring black) the minimum-weight edge that connects a vertex on the tree to a vertex not
Can Prim’s Algorithm Add Edge Cycle? Note that if A is viable it cannot contain a cycle. Prim’s algorithm operates by repeatedly adding a safe edge to the current spanning tree. Which algorithm specifies the addition of edges to the spanning tree in an increasing order of cost? Kruskal Algorithm addition of edges to Spanning
Are There Problems That Cannot Be Solved With Algorithms? Are there problems that Cannot be solved with algorithms? There are two categories of problems that an algorithm cannot solve. Undecidable Problems. These problems are the theoretically impossible to solve — by any algorithm. The halting problem is a decision problem (with a yes or no
Are Algorithms A Problem Solving Strategy? Are algorithms a problem solving strategy? An algorithm is a problem-solving formula that provides you with step-by-step instructions used to achieve a desired outcome (Kahneman, 2011). You can think of an algorithm as a recipe with highly detailed instructions that produce the same result every time they are performed.