Machine Learning
For
Data Analytics
INTRODUCTION
Machine Learning is a type of Artificial Intelligence (AI) that allows computers to learn without being explicitly programmed. It uses data to determine patterns and make rules using them.
HOW DOES MACHINE LEARNING WORK?
•Machine learning algorithms work by identifying patterns in data.
•These patterns are then used to make predictions or decisions about new data.
•There are many different types of machine learning algorithms for different tasks.
TYPES OF MACHINE LEARNING
USES OF ML IN ANALYTICS
•Identify patterns in data
•Make predictions about future events
•Cluster data into groups
•Reduce the dimensionality of data
•Improve the accuracy of data models
CHALLENGES OF ML IN ANALYTICS
•It can be difficult to find and prepare the data that is needed to train the algorithms.
•Machine Learning algorithms can be computationally expensive to train and run.
•Some of the algorithms are difficult to interpret even though they work well.
FUTURE OF MACHINE LEARNING IN ANALYTICS
•Machine learning is a rapidly evolving field, and there are many new developments in this area.
•As machine learning algorithms become more powerful and efficient, they will be used for a wider range of data analytics tasks.
•Machine learning will also be used to automate more tasks that are currently done manually.