
Following is a set of 5 key machine learning problems/tasks whose examples have been listed later in this article:
- Regression
- Classification
- Clustering
- Association Rules
- Artificial Neural Networks
Examples – Regression Models
- Real Estate – Housing price estimation
- Financial – Stock price estimation
- Insurance – Estimate medical care expenses
- Sales & Marketing – Sales vs Ad spend
- Company growth estimation
Examples – Classification Models
Following are four different algorithms whose examples have been listed below:
- Naive Bayes – Following are some of the examples:
- Text classifications problems such as Spam filter, topic categorization
- Diagnose medical conditions
- Intrusion detection
- K-Nearest Neighbors – Following are some of the examples:
- Facial recognition (Computer vision)
- Patterns identification in gene data
- Cancer disease diagnosis such as Breast cancer
- Classification trees – Following are some of the examples:
- Credit scoring models
- Marketing analysis of customer satisfaction
- Diagnosis of medical conditions
- Support Vector Machine (SVM) – Following are some of the examples:
- Text categorization (organize document by topics)
- Fraud analysis, security breaches identification
- Cancer and other genetic disease identification based on classification of microarray gene expression
- OCR
Examples – Clustering Models
- Customer Segmentation: Segmenting customers into groups with similar demographics or buying patterns for targeted marketing campaigns
- Anomalous Behavior Detection: Detecting anomalous behavior, such as unauthorized intrusions into computer networks, by identifying patterns of usage
- Simplifying extremely large datasets by grouping a large number of features with similar values
Examples – Association Rule Models
- Analysis of frequently occurring patterns: Used in various ecommerce sites. One such example is to identify items that are purchased together.
- Patterns of purchases or medical claims in relation with fraudulent credit card or insurance use
Examples – Artificial Neural Networks (ANN) Models
- Speech & handwriting recognition
- Automated devices such as self-driven cars, self-driven drones
- Weather and climate patterns
- Social & economic phenomena
- Tensile strength, fluid dynamics etc.
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