XGBoost is an algorithm that has recently been dominating applied machine learning and Kaggle competitions for structured or tabular data. XGBoost is an implementation of gradient boosted decision trees designed for speed and performance. … Why XGBoost must be a part of your machine learning toolkit. What is GBM technique?Read More →
Step 1: Determine the goal of the algorithm. Step 2: Access historic and current data. Step 3: Choose the right models. Step 4: Fine tuning. Step 5: Visualize your results. Step 6: Running your algorithm continuously. How are algorithms programmed? A programming algorithm is a procedure or formula used forRead More →
In mathematics, informal logic and argument mapping, a lemma (plural lemmas or lemmata) is a generally minor, proven proposition which is used as a stepping stone to a larger result. … The word “lemma” derives from the Ancient Greek λῆμμα (“anything which is received”, such as a gift, profit, orRead More →
A chronon is a proposed quantum of time, that is, a discrete and indivisible “unit” of time as part of a hypothesis that proposes that time is not continuous. In which of the following scheduling algorithms quantum is used? Round Robin Scheduling Round Robin is the preemptive process scheduling algorithm.Read More →
Let G be a weighted graph representing a highway structure. Suppose that the weight of an edge represents the travel time. For example, to plan monthly business trips, a salesperson wants to find the shortest path (that is, the path with the smallest weight) from her or his city toRead More →
Here are some applications of Naive Bayes algorithm: As this algorithm is fast and efficient, you can use it to make real-time predictions. This algorithm is popular for multi-class predictions. … These systems use data mining and machine learning to predict if the user would like a particular resource orRead More →
They are often confused with each other. The ‘K’ in K-Means Clustering has nothing to do with the ‘K’ in KNN algorithm. k-Means Clustering is an unsupervised learning algorithm that is used for clustering whereas KNN is a supervised learning algorithm used for classification. What kind of classifier is K-nearestRead More →
A genetic algorithm (GA) for protein-protein docking is described, in which the proteins are represented by dot surfaces calculated using the Connolly program. The GA is used to move the surface of one protein relative to the other to locate the area of greatest surface complementarity between the two. WhatRead More →
AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data. … The process requires multiple passes at the data to find connections and derive meaning from undefined data. Which algorithm is bestRead More →
: to pass (gases) once across the tubes of a boiler. What is one-pass and two pass algorithm? – one-pass algorithms read data only once from disk, – two-pass algorithms read data once from disk, write intermediate relation back to disk and then read the intermediate relation once. – multiple-passRead More →