دانلود کتاب مفاهیم یادگیری ماشین از A تا Z

~ It gives computers the ability to learn from data and become more humans like in their behavior.
~ ML is based on statistical techniques and algorithms to find patterns in data and make predictions.
~ Unlike traditional programming, ML models learn from input data and generate their own programs.
~ Good quality data is essential for training ML models.
~ Different algorithms are used based on the type of data and the task at hand.
In a nutshell, Machine Learning is
● AI Subset: It’s a part of Artificial Intelligence.
● Automated Learning: Machines learn and improve with minimum human intervention.
● Data~Driven: Models are trained on data to find patterns and make decisions.
● No Explicit Programming: Unlike traditional programming, ML models generate their own programs.