AI Life Cycle: From Data to Intelligence - The Complete Lifecycle Explained скачать в хорошем качестве

AI Life Cycle: From Data to Intelligence - The Complete Lifecycle Explained

What if AI wasn’t just code… but clarity? In this cinematic breakdown, we take you step-by-step through the complete AI lifecycle — not just the buzzwords, but the blueprint: 🔹 It starts with a real-world problem. 🔹 Then comes data validation, exploration, feature engineering, and model building. 🔹 We cover tuning, testing, deployment… and how to keep your AI smart. Whether you’re a developer, a data scientist, or just curious — this video will teach you how real AI is built. No hype. No shortcuts. Just practical steps — from raw data to real intelligence. Chapters: 0:00 - What If You Could Teach a Machine? 1:29 - Step 1: Define the Problem 2:35 - Step 2: Data Validation 4:08 - Step 3: Exploratory Data Analysis (EDA) 5:52 - Step 4: Feature Engineering 7:44 - Step 5: Feature Selection 9:27 - Step 6: Model Building 11:43 - Step 7: Hyperparameter Tuning 13:37 - Step 8: Model Validation 15:40 - Step 9: Model Deployment 17:36 - Step 10: Monitoring & Maintenance 19:25 - From Data to Intelligence: Your Turn — 🚀 Want more AI storytelling and frameworks? Subscribe for weekly videos that demystify how intelligence is built. #ai #artificialintelligence #machinelearning #ailifecycle #datascience #datasciencelifecycle #promptengineering #learnai #AILifecycle #AI #DataScience #ArtificialIntelligence #MachineLearning #aiethics #AItraining #AIdeployment #TechEducation #LearnAI #ai #aimodels #ethicalai #AILifecycle #MachineLearning #AIProjects #MLOps #artificialintelligence #AIlifecycle, #howtobuildai, #artificialintelligenceexplained #machinelearningprocess #datascienceworkflow, #end-to-endmlpipeline #howaiworks, #featureengineering, #modeldeployment, #modeltuning, #aiforbeginners, #mltutorial , #aistorytelling #buildingintelligence