ML Interview Questions
Firstly, Machine Learning Machine Learning is a sub-area of artificial intelligence, whereby the term refers to the ability of IT systems to independently find solutions to problems by recognizing patterns in databases. In other words: Machine Learning enables IT systems to recognize patterns on the basis of existing algorithms and data sets and to develop adequate solution concepts. Therefore, in Machine Learning, artificial knowledge is generated on the basis of experience. The system can perform the following tasks by Machine Learning: Finding, extracting, and summarizing relevant data Making predictions based on the analysis data Calculating probabilities for specific results Adapting to certain developments autonomously Optimizing processes based on recognized patterns Find the full set of Machine Learning Questions According to Deloitte, companies have an impressive median ROI of 17%. Interview Questions Why was Machine Learning Introduced? What is Supervised and Unsupervised Learning? Explain SVM Algorithm in Detail What is Bias in Machine Learning? How to Tackle Overfitting and Underfitting? What is a Neural Network? Tell me something about Ensemble learning? How to Handle Outlier Values? What is a Random Forest? How does it work?