What is ensamble learning?
Ensemble learning is a machine learning technique that involves combining multiple models to improve the overall performance and predictive power of the system. The basic idea behind ensemble learning is that by aggregating the predictions of multiple models, the resulting model can often outperform any of the individual models involved. There are several different approaches
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Introduction, What is machine learning
Which algorithm is suitable for which data pattern?
In the field of artificial intelligence and machine learning, selecting the most suitable algorithm for a particular data pattern is crucial for achieving accurate and efficient results. Different algorithms are designed to handle specific types of data patterns, and understanding their characteristics can greatly enhance the performance of machine learning models. Let’s explore various algorithms
How can non-numerical data be handled in machine learning algorithms?
Handling non-numerical data in machine learning algorithms is a crucial task in order to extract meaningful insights and make accurate predictions. While many machine learning algorithms are designed to handle numerical data, there are several techniques available to preprocess and transform non-numerical data into a suitable format for analysis. In this answer, we will explore