What questions can machine learning answer?

5 Questions We Can Answer with Machine Learning

• How much or how many? So, for forecasting or also called a regression test.
• Which category? What category does ‘x’ fall into?
• What group does this fall into?
• Is this weird or is something not normal?
• What options should we take?

What is F1 score in machine learning?

F1 score – F1 Score is the weighted average of Precision and Recall. Therefore, this score takes both false positives and false negatives into account. Intuitively it is not as easy to understand as accuracy, but F1 is usually more useful than accuracy, especially if you have an uneven class distribution.

What is weka used for?

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization.

Why do interviewers ask machine learning interview questions?

Answer: Interviewers ask such machine learning interview questions to test your understanding of how to communicate complex and technical nuances with poise and the ability to summarize quickly and efficiently.

What are machine learning interview questions about ML algorithms?

Machine learning interview questions about ML algorithms will test your grasp of the theory behind machine learning. Q1: What’s the trade-off between bias and variance? Answer: Bias is error due to erroneous or overly simplistic assumptions in the learning algorithm you’re using.

What are the best online courses to learn machine learning?

1. Machine Learning Certification by Stanford University (Coursera) 2. Artificial Intelligence (Northwestern | Kellogg School of Management) 3. Machine Learning with TensorFlow on Google Cloud Platform 4. Artificial Intelligence: Business Strategies & Applications (Berkeley ExecEd) 5.

What is machine learning and how it works?

Machine learning is a branch of computer science which deals with system programming in order to automatically learn and improve with experience. For example: Robots are programed so that they can perform the task based on data they gather from sensors. It automatically learns programs from data.