Welcome to CN Tech, where we are starting a series of videos on machine learning basics. In this video, we clarify some basic terms such as AI, DL, and ML, and explain the differences between them.
We start by defining AI, which is a broad field of computer science that aims to create machines that can perform tasks that typically require human intelligence. ML is a subset of AI that focuses on developing algorithms that can learn from data. Finally, DL is a subset of ML that uses deep neural networks to perform tasks such as image recognition, speech recognition, and natural language processing.
Understanding these differences is essential before we dive into machine learning algorithms. Stay tuned for more lessons and tutorials on machine learning basics!
#MachineLearningBasics #ArtificialIntelligence #DeepLearning #MachineLearningAlgorithms #ML #AI #DL #NeuralNetworks #SupervisedLearning #UnsupervisedLearning #SemiSupervisedLearning #ReinforcementLearning #ComputerVision #NaturalLanguageProcessing #Robotics #ImageRecognition #SpeechRecognition #PredictiveMaintenance #FraudDetection #RecommendationSystems #CNtech #ChristianNebot #IntroductionToAI #DataScience #DataMining #BigData #AIinHealthcare #AIinFinance #AIinTransportation
AI vs ML vs DL explained in 3 mins
Теги
MachineLearningBasicsArtificialIntelligenceDeepLearningMachineLearningAlgorithmsMLAIDLNeuralNetworksSupervisedLearningUnsupervisedLearningSemiSupervisedLearningReinforcementLearningComputerVisionNaturalLanguageProcessingRoboticsImageRecognitionSpeechRecognitionPredictiveMaintenanceFraudDetectionRecommendationSystemsCNtechChristianNebotIntroductionToAIDataScienceDataMiningBigDataAIinHealthcareAIinFinanceAIinTransportation