MLOps Zoomcamp - 3.2.7 Training: Hyperparameter XGBoost Published 2024-05-25 Download video MP4 360p Recommendations 02:35 MLOps Zoomcamp - 3.2.8 Training: XGBoost trained 00:49 How to use the ChatGPT API with Python!! 02:08 MLOps Zoomcamp - 3.2.5 Training: Hyperparameter tuning 02:50 MLOps Zoomcamp - 3.3.6 Observability: Histogram 1:07:05 Language models on the command-line w/ Simon Willison 43:00 The Mastermind Behind GPT-4 and the Future of AI | Ilya Sutskever 05:13 MLOps Zoomcamp - 3.3.4 Observability: Overview 02:41 MLOps Zoomcamp - 3.2.4 Training: Load models utility 01:42 MLOps Zoomcamp - 3.2.6 Training: Sklearn trained 02:08 MLOps Zoomcamp - 3.4.3 Triggering: Predict 01:58 MLOps Zoomcamp - 3.4.4 Triggering: GDP 18:57 How to train XGBoost models in Python 03:06 MLOps Zoomcamp - 3.3.5 Observability: Time series bar 01:52 MLOps Zoomcamp - 3.1.2 Data preparation: Ingest data 01:41 MLOps Zoomcamp - 3.5.2 Deploying: Deploy 1:29:20 Chat with Your Own Data: Introduction to the LLM Zoomcamp - Alexey Grigorev 01:42 MLOps Zoomcamp - 3.1.3 Data preparation: Utility 1:00:03 Correcting Common Async/Await Mistakes in .NET 8 - Brandon Minnick - Copenhagen DevFest 2023 02:54 MLOps Zoomcamp - 3.4.1 Triggering: Retraining pipeline 02:02 MLOps Zoomcamp - 3.4.7 Triggering: Interactions run Similar videos 07:05 MLOps Zoomcamp - 3.3.2 Observability: XGBoost part 1 00:29 MLOps Zoomcamp - 3.3.3 Observability: XGBoost part 2 02:21 MLOps Zoomcamp - 3.3.7 Observability: Bar chart 01:00 #Shorts XGBoost Prerequisites: What You Should Know Before You Try XGBoost 1:06:27 MLOps Zoomcamp 2023 - Mage Office hours 44:29 Building your ML Ops strategy for generative AI 28:13 [MLOPS] Model Serving Monitoring and Traceability - The Bigger Picture - The AIIA Summit 2022 59:46 Practical Learning-to-Rank: Deep, Fast, Precise - Roman Grebennikov 1:34:03 Scaling your Tech Career with AI and MLOps | Webinar 2:26:24 MLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn 30:17 Taking Deep Learning to Production with MLflow & RedisAI 1:25:01 Tobias Sterbak: Introduction to MLOps with MLflow 29:04 ClearML Onboarding Walkthrough - PART 1: Experiment Management and Data Versioning 1:02:19 Stock Market Analysis with Python and Machine Learning - Ivan Brigida More results