Machine Learning Is Not Enough Anymore — Deep Learning Takes Over (ML.NET) скачать в хорошем качестве

Machine Learning Is Not Enough Anymore — Deep Learning Takes Over (ML.NET)

Classical Machine Learning — regression, decision trees, random forest, XGBoost — powered AI systems for more than a decade. But today, enterprises are rapidly moving to Deep Learning, Neural Networks, and Foundation Models. In this video, I explain: Why traditional Machine Learning is no longer enough What Deep Learning actually changes in model capability How ML.NET is evolving from classical ML to Deep Learning What this means for .NET developers, software engineers, and AI architects This is not academic theory. This is how modern AI platforms are being built in production — from computer vision to NLP to intelligent automation. 🚀 In the next video, we will go deep inside ML.NET’s Deep Learning stack — TensorFlow, ONNX, TorchSharp, training pipelines, GPU usage, and deployment architecture. If you are serious about building enterprise-grade AI with .NET, this transition is mandatory to understand. #DeepLearning #MachineLearning #MLNET #DotNet #ArtificialIntelligence #AIEngineering #NeuralNetworks #EnterpriseAI