Overview
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Explore the world of machine learning and its practical applications in this comprehensive conference talk. Delve into the fundamentals of predictive analytics and discover how computers can be trained to make accurate forecasts based on historical data patterns. Learn step-by-step techniques for extracting valuable insights from complex datasets and exposing them as APIs for widespread use. Gain hands-on experience by following practical examples, including building apps that predict flight delays and perform sentiment analysis. Examine various machine learning applications, such as predictive maintenance, fraud detection, and home automation. Get acquainted with Azure Machine Learning Studio and its features for classification, scoring, and evaluation. Explore Project Oxford and its capabilities in age prediction and text analytics. By the end of this talk, acquire the knowledge and skills necessary to initiate your first machine learning project with confidence.
Syllabus
Introduction
What is Machine Learning
Predictive Maintenance
Credit Card Fraud
Wavy Hands
Recommender
Home Automation
Dino
Azure Machine Learning
Azure Machine Learning Studio
Demo
Microsoft Azure
Classification
Score
Evaluate
Deploy
Deploy as Web Service
Request Response
Project Oxford
Predicting your age
Using Project Oxford
Using the Text Analytics API
Taught by
Devoxx