What is machine learning ? uses of ML ?
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Machine Learning(ML) introduce a system automating and improving the learning process of computers based on their experiences without being actually programmed i.e. without any human assistant. The process having feeding a good quality data and then training our machines by building machine learning models using the data and different algorithms. The choice of algorithms depends on what type of data do we have and what kind of task we are trying to automate. the past data in the form of text file,excel file,images or in type of audio data.the model learning depends on quality of the data .
1. supervised learning
-image classification
-market prediction / Regression
2. Unsupervised learning
-clustering
-High dimention visulization
-Generative models
Uses of linear regression, logistic regression, decision tree, SVM (support vector machine) Naive bayes, KNN (k-nearest nighbors),k-means , random forest in machine learning.
Terminology of ML :
- Model
- Feature
- Target(label)
- Training
- Prediction