Machine Learning Flashcards
What is Machine Learning?
Machine Learning is the Training and Predicting of AI based on previous data.
What is Regression?
A type of supervised learning used to predict a numeric label where you train a model using data that has a known label and features and then use the trained model to predict labels for new items which have unknown labels.
In y =f(x), y is the label and x is one or more features
What is Classification?
A type of supervised learning used to predict which category, or class, an item belongs to.where you train a model using data that has a known label and features and then use the trained model to predict labels for new items which have unknown labels.
In y =f(x), y is the label and x is one or more features
What is Clustering?
Clustering is a form of machine learning that is used to group similar items into clusters based on their features.
Clustering is unsupervised machine learning, in which you train a model to separate items into clusters based purely on their characteristics, or features. There is no previously known cluster value (or label) from which to train the model.
What are the features and Capabilities of Azure Machine Learning?
Automated machine learning: This feature enables non-experts to quickly create an effective machine learning model from data.
Azure Machine Learning designer: A graphical interface enabling no-code development of machine learning solutions.
Data and compute management: Cloud-based data storage and compute resources that professional data scientists can use to run data experiment code at scale.
Pipelines: Data scientists, software engineers, and IT operations professionals can define pipelines to orchestrate model training, deployment, and management tasks.
What is the benefit of automated Machine Learning?
Automated machine learning helps data scientists increase their efficiency by automating many of the time-consuming tasks associated with training models; and it enables them to use cloud-based compute resources that scale effectively to run multiple training experiments in parallel while incurring costs only when actually used.
What is a Pipeline?
Pipelines are multi-step workflows to prepare data, train models, and perform model management tasks in Azure Machine Learning.
What does the designer tool allow you to do in Azure?
The designer tool in Azure Machine Learning studio enables you to create and run pipelines by using a drag & drop visual interface to connect modules that define the steps and data flow for the pipeline.
