Machine learning is a group of algorithm which is used to find the accurate outcome and predicted the outcome as per given input.

We are providing machine learning services from last 3+ year, and our developer work on machine learning different - different technologies and also working on different types of framework and algorithm like keras, neural network, linear regression, logistic regression, etc.

**Machine Learning Technologies which is offered by our team**

Keras

Torch

Caffe

TensorFlow

Theano

Microsoft Cognitive Toolkit

**Are you need help in ML Algorithms**

**Linear regression **which is about predicting a continuous value given the input. Like given the house dimensions, output the price.

**Artificial neural network (ANN)** which is an ensemble of processing nodes arranged in a layer-by-layer manner.

**Logistic regression** for two all more categories. It is essentially a single layered ANN where by each node in the layer represents a specific category in which the data can be classified.

**K means clustering** which produces k centroids from the data.

**Agglomerative clustering** which can produce a variable number of centroids depending on the cut off threshold.

**Self organizing map (SOM)** which results in a map of neurons such that the neurons that are physically close together also fire on similar stimuli. This can resemble k means if the nodes are small in number.

**Support vector machine (SVM)** which is about learning a maximum margin hyperplane.

Kernel SVM which extends the linear maximum margin hyperplane to non-linearly separable problems using the kernel trick.

And many more.

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