In the SVM algorithm, a kernel function is a special mathematical function. In simple terms, a kernel function takes data as input and converts it into a required form. This transformation of the data is based on something called a kernel trick, which is what gives the kernel function its...
79. What is a support vector machine (SVM), and how does it work for classification tasks? A Support Vector Machine (SVM) is a supervised learning algorithm used for binary classification. It works by finding the hyperplane that maximizes the margin between classes while minimizing classification...
26. What is the K-means algorithm? K-means algorithm clusters data into different sets based on how close the data points are to each other. The number of clusters is indicated by ‘k’ in the k-means algorithm. It tries to maintain a good amount of separation between each of the clus...
If an algorithm learns something from the training data so that the knowledge can be applied to the test data, then it is referred to as Supervised Learning. If the algorithm does not learn anything beforehand because there is no response variable or training data, it is referred to as uns...
Let’s move a step further with some advanced Google Python interview questions for experienced developers: How would you install Python on Windows and set the path variable? What do you know about the difference between deep and shallow copy? What are the benefits of using NumPy arrays over ...
13. How does the SVM parameter C affect the bias/variance trade off? The support vector machine algorithm has low bias and high variance, but the trade-off can be changed by increasing the C parameter that influences the number of violations of the margin allowed in the training data which...
Iterative Classification: For every word, the algorithm assigns both a word-level classification and a directed arc to another word, specifying the relationship from the first to the second. Tree Check: Throughout the process, the parser ensures that the set of classified arcs forms a single, ...
Below are some of the questions asked during the interview process at top companies likeFacebook, Google, and Microsoft. If you find yourself unable to answer some of the questions below, consider checking out acourseor abookon the subject. ...
my next interviewer asked a lot of algorithm questions. he made me write pseudo-code for a binary search; he had me uml a system; he made me explain cron, diff, the permission system in unix, and had me write a bunch sql queries. this guy was a scientist at epson, the printer comp...
43. How does the Support Vector Machine algorithm handle self-learning? The SVM algorithm has a learning rate and expansion rate which takes care of self-learning. The learning rate compensates or penalizes the hyperplanes for making all the incorrect moves while the expansion rate handles findin...