Overview
Machine Learning and Automation is a rapidly growing field that combines computer science and statistics to enable machines to learn from data. By automating processes, machine learning can improve efficiency and accuracy in various applications, from self-driving cars to personalized recommendation...
Key Terms
Example: Sorting algorithms arrange data in a specific order.
Example: A linear regression model predicts outcomes based on input variables.
Example: Images of cats and dogs used to train a classifier.
Example: A model that performs well on training data but poorly on new data.
Example: Customer segmentation based on purchasing behavior.
Example: Predicting house prices based on features like size and location.
Related Topics
Deep Learning
A subset of machine learning that uses neural networks with many layers to analyze various factors of data.
advancedNatural Language Processing
A field of AI that focuses on the interaction between computers and humans through natural language.
intermediateData Science
An interdisciplinary field that uses scientific methods, processes, and algorithms to extract knowledge from data.
intermediateKey Concepts
Supervised LearningUnsupervised LearningNeural NetworksData Preprocessing