What is the difference between AI, Data Science, ML, and DL? скачать в хорошем качестве

What is the difference between AI, Data Science, ML, and DL?

In this video, we explore the distinct yet interconnected fields of Artificial Intelligence (AI), Data Science, Machine Learning (ML), and Deep Learning (DL). While these terms are often used interchangeably, they each have their own unique aspects: Artificial Intelligence (AI): The broader concept of machines being able to carry out tasks in a way that we would consider "smart". It encompasses any technique that enables computers to mimic human behavior. Data Science: A multidisciplinary approach that uses statistics, data analysis, and machine learning to analyze and interpret complex data. It's the process of extracting insights and knowledge from data, whether structured or unstructured. Machine Learning (ML): A subset of AI, where machines learn from data. It's about creating algorithms that can learn from and make predictions or decisions based on data, without being explicitly programmed. Deep Learning (DL): A subset of ML, inspired by the structure and function of the human brain. It involves neural networks with many layers (hence "deep") and is particularly powerful in handling vast amounts of unstructured data such as images and text. #AI #DataScience #techexplained #DataScience #MachineLearning #ArtificialIntelligence #DeepLearning #AIvsML #TechTalk #DataScienceInterview #MLBasics #AIDifferences #DLExplained #DataScienceBasics #TechInterviewTips #MLvsDL #DataScienceQuestions #AITerminology #MachineLearningInterview #DataScienceTips #UnderstandingAI #TechInsights #CareerInTech #TechCareer #DataDriven #TechEducation #DataScienceCareer #futureoftech #DataScience #BusinessSolutions #Lightboard #IBM #ComputerScience #Data #machinelearning #interview #interviews