5 Types Of Machine Learning Models
The machine learning models
are the output file of a training process to recognize a certain set of
patterns. An algorithm is assigned to each model that it further utilizes to
reason over and learn from some specific set of data.
Sorts Of Machine Learning Models
The 5 major
classifications and working of top machine learning models are as follow:
·
Classification
Models
·
Clustering
·
Deep Learning
·
Regression
Models
·
Dimensionality
Reduction
1. Classification Models
In machine learning, the
classification model is utilized to determine the type of data or object based
on a finite number of options. The output of this model is always in the
categorical form. A common example of such a model is to determine whether the
certain file is spam or not.
For the problems related
to classification models, you can utilize the following models:
Ø Naïve Bayes
Ø SVM
Ø K-Nearest neighbours algorithm
Ø Decision Tree
2. Clustering
The function of clustering
is as easy as its name. It simply gathers similar objects from a pool of data.
Without the homogenous data, an effective supervised machine learning model
cannot be achieved. And clustering model helps in smartly serving this purpose.
The most frequently used clustering models in the market are:
Ø K means
Ø DBSCAN
Ø Agglomerative clustering
Ø K means ++
3. Deep Learning
This subset of AI can work
without any human intervention. It has the capability of mimicking the working
of the human brain to detect and recognizing the objects. The deep learning
model is known to effectively deal with neural networks.
The common deep learning
models utilized by companies and agency include:
Ø Convolution Neural Networks
Ø Boltzmann Machine
Ø Multi-layer Perceptron
Ø Autoencoders
4. Regression Models
This model is a subset of
supervised machine learning. The model is used in the cases when the output of
a data is expected to be in real numbers. The common types of model for
regression include:
Ø Linear Regression
Ø SVM Regression
Ø Lasso Regression
Ø Decision Tree Regression
5. Dimensionality Reduction
This form of the model is
best known to convert the data from high-dimensional space to low-dimensional
space to make the output close to the intrinsic set of data. The most
well-known models for dimensionality reduction used across the globe include:
Ø PCA
Ø TSNE
Ø SVD
The Best Machine Learning Service Provider
After the decision of
which model is suitable for your machine learning project, comes the part where
you have to decide on the company from where you will get these services from.
Pixelette Technologies, an
AI integrated firm, provides some of the best and top-quality services of
machine learning. Our team of experts provides ML services to target multiple
types of machine learning to develop effective products for your business.
Conclusion
These are some of the widely used machine learning models across the globe. Pixelette
Technologies makes sure to satisfy their clients with amazing products of
machine learning to update their business systems and provide them with more
modern solutions.
https://www.pixelettetech.com/machine-learning/
+1 (773) 2709034
INFO@PIXELETTETECH.COM
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