The field of AI that enables computers to learn from data and make predictions or decisions without explicit programming.
Essential aspects of machine learning
Envolves data collection, preprocessing, and analysis.In addition, discuss the types of data used and how it impacts the performance of machine learning models.
Highlight the role of algorithms, such as regression, classification, clustering, and deep learning, in extracting patterns and making predictions from data.
Discuss the process of training machine learning models using data, including techniques like feature extraction, model selection, and parameter optimization.
“It seems probable that once the machine thinking method had started, it would not take long to outstrip our feeble powers. They would be able to converse with each other to sharpen their wits. At some stage, therefore, we should have to expect the machines to take control.”
-Alan Turing, English computer scientist and mathematicianFeel free to criticize or comment something.