soniaang Goto Github PK

fmeval2

formsr_and_ocr_demo

gsk

gskhack

kaiqbrepo0731190208

km_half_day_-workshop

learnai-adpm

Learning Materials related to Anomaly Detection and Predictive Maintenance Course

learnai-bootcamp

LearnAI Boot Camp Training Materials

learnai-designingandarchitectingintelligentagents

This GitHub contains course materials related to Designing and Architecting Intelligent Agents

learnai-knowledgeminingbootcamp

Learn to build an enterprise scale intelligent search solution for searching business documents using Microsoft Azure and Cognitive Search

luis-samples

Samples for the Language Understanding Intelligent Service (LUIS)

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

mcw-ai-with-azure-databricks-and-azure-machine-learning

mcw-cognitive-services-and-deep-learning

MCW Cognitive services and deep learning

microsoft-r-server-beginners-tutorial

A half day or full day Training Session for Microsoft R Server

mlops

MLOps examples

mlops2

mlopsgitaction

mortgage-excel-

mortgage

mortgage2

mr4ds

R and Microsoft R Workflows for Data Science

mrsworkshopstudent

Student materials for Big Data Analytics to the Power of R Workshop

projectgemini

responsible-ai-widgets

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

responsibleai-airlift

Given the importance of responsible development and deployment of AI systems, the goal of this session is to equip you with the knowledge you need to successfully use, apply, and promote these offerings on customer use cases. Please forward this invite to other solution architects, evangelists, field activators, etc. We truly hope we can limit this workshop to those of you who work directly with customers on ML and AI topics.

rpart

:exclamation: This is a read-only mirror of the CRAN R package repository. rpart — Recursive Partitioning and Regression Trees

time-series-forecasting-automl-