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Machine Learning
Machine learning is a branch of artificial intelligence focused on building systems that improve their task performance by learning from data or other experience. It draws on ideas from statistics, optimization, and data analysis to make predictions, recognize patterns, and support decisions.
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Dive into Deep Learning @ D2L
Deep Learning
Data Science
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Natural language processing
A smart home thermostat learns the daily routines of a household. It senses when people are home or away, monitors the current indoor and outdoor temperatures, and automatically adjusts the heating and cooling to maintain a comfortable temperature while minimizing energy consumption. Based on the core principles of an intelligent agent, which part of this process best represents the agent's primary 'goal'?
Analyzing an Intelligent Agent
Evaluating an Automated System
Machine Learning
Artificial Intelligence in Agricultural Soil Management
AI-Assisted Video Review for Protected Catch in Fisheries
Learn After
Representational Learning
Supervised Learning
Kaggle Platform
Predictive Analytics for Accelerated Decision-Making
Development Set
Purpose of a Test Set
Combining Metrics With a Threshold and an Objective
It Is Hard to Predict the Best Machine Learning Strategy Before Trying It
An Iterative Machine Learning Workflow
Bias and Variance as Two Major Sources of Error
What End-to-End Learning Can Predict
When a Pipeline Is Missing Information
Text Polarity Detection
Machine Learning Strategy
Two Forces Behind Recent Deep Learning Gains