29. Why is Naive Bayes called ‘naive’? Naive Bayes is called naive because it makes the general assumption that all the data present are unequivocally important and independent of each other. This is not true and won’t hold up in a real-world scenario. 30. What is the simple differenc...
Apache™ Mahout is a library of scalable machine-learning algorithms, implemented on top of Apache Hadoop® and using the MapReduce paradigm.Machine learningis a discipline of artificial intelligence focused on enabling machines to learn without being explicitly programmed, and it is commonly used ...
5. How Can You Choose a Classifier Based on a Training Set Data Size? When the training set is small, a model that has a right bias and low variance seems to work better because they are less likely to overfit. For example, Naive Bayes works best when the training set is large. Mo...
Naive Bayes is a data science algorithm. It has the word ‘Bayes’ in it because it is based on the Bayes theorem, which deals with the probability of an event occurring given that another event has already occurred. It has ‘naive’ in it because it makes the assumption that each variab...
Two solutions are proposed and compared, one based on the Naive Bayes classifier and the other on a Linear classifier implemented using TensorFlow. The former obtains an accuracy of over 95% for 23% of the questions while the latter obtains the same accuracy for 60% of the questions. The ...
After the A/B test, the elastic search model outperformed the Naive Bayes recommender.” 13. What data engineering projects have you also worked on? Which was most rewarding? If you have professional experience, choose a project you worked on in a previous job. However, if this is your ...
算法举例:常见的有监督机器学习算法包括支持向量机(Support Vector Machine, SVM),朴素贝叶斯(Naive Bayes),逻辑回归(Logistic Regression),K近邻(K-Nearest Neighborhood, KNN),决策树(Decision Tree),随机森林(Random Forest),AdaBoost以及线性判别分析(Linear Discriminant Analysis, LDA)等...
Basics of Naive Bayes in NLP Naive Bayes makes use ofBag of Wordstechniques, treating the order of words as irrelevant. It calculates the probability of a document belonging to a specific category based on the probability of words occurring within that category. ...
One major drawback of Naive Bayes is that it holds a strong assumption in that the features are assumed to be uncorrelated with one another, which typically is never the case.One way to improve such an algorithm that uses Naive Bayes is by decorrelating the features so that the assumption ...
Google interviewers look for and grade you on their four principles of cognitive ability, leadership, role-related knowledge, and Googleyness. Q5. What are some ML algorithms used in Python? ML algorithms commonly used in Python include linear regression, logistic regression, naive Bayes, decision...