Machine Learning Tools

Introduction To Machine Learning Tools

The following article provides an outline for Machine Learning Tools. Machine learning is a part of Artificial Intelligence, which can evolve and upgrade on its own with time and experience as we all know AI has a mind of its own, so Machine learning being a part of it plays the same role. One of the simple concepts of Machine Learning is that the programs which are built on the ideas of Machine learning can automatically learn and adapt to perform tasks on its own without any pre-programming. Machine learning has the capability to declassify and depreciate complex algorithms and codes. It also can decipher and recognize unknown data and perform tasks based on certain build predictions on its own.

The concept of Machine learning is being used in several fields of work depending on their requirements, some of the important areas where machine learning are being used regularly are:

• Advertising
• Business Intelligence
• Data Mining and Data Warehousing
• Computational Statistics
• Analytics
• News
• Fraud Detection and many more, its applications are endless and will only increase by the day.

As the need for Cloud computing or Web Service increase, so will the demand for Artificial Intelligence and in turn expanding the usages of Machine Learning concepts and tools.

Machine learning has been principally divided into three categories:

• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning

What Is Machine Learning?

• Machine Learning is first of all a concept that upgrades and adapts itself with time. This concept is a part of the computer/digital technology that we use every day in our life.
• This involves the computer’s built-in algorithms which constantly change and improves itself automatically with time and experience and also based on the current technological requirements.
• That is why Machine Learning is also regarded as a part of Artificial Intelligence due to their similarity in characteristics i.e., read, intuit and predict.

Types Of Tools In Machine Learning

There are various types of tools available for Machine Learning.

So, the most used machine learning tools are as follows:

• PyTorch
• TensorFlow
• Scikit Learn
• KNIME
• Apache Mahout
• Weka
• Colab
• Shogun
• Rapid Miner
• Accor.Net
• Keras.io

So, these are the most popular Machine Learning Tools currently being used around the world to serve various purposes and operational needs according to their algorithms and features.

Tools With Features:

Given below are the above-mentioned popular Machine Learning tools in detail:

Tools	Operating System, It Works On	The programming Language Is Written In	Features
Pytorch	Windows, MAC OS, LINUX	C, Python, CUDA	Autograd module Optim module
TensorFlow	Windows, MAC OS, LINUX	C, Python, CUDA	Dispense library routines for dataflow programming
Scikit Learn	Windows, MAC OS, LINUX	C, C, Python, Cython	Regression Clustering Pre-processing
KNIME	Windows, MAC OS, LINUX	Java	Works with a large amount of data to support data mining operations
Apache Mahout	Windows, MAC OS, LINUX	Java Scala	Regression Clustering Pre-processing
Weka	Windows, MAC OS, LINUX	Java	Regression Clustering Visualization
Colab	Cloud Service	–	Provides assistance of PyTorch, TensorFlow, Keras
Shogun	Windows, MAC OS, LINUX	C	Regression Clustering Classification
Rapid Miner	Windows, MAC OS, LINUX	Java	Data Loading Visualization Data Transformation
Accor.Net	Windows, MAC OS, LINUX	C#	Distribution Clustering Regression
Keras.io	Windows, MAC OS, LINUX	Python	Provides API for neural networks

Uses Of Machine Learning

There is a vast abundance of usage and applications of Machine Learning in the practical world, more than you or we can contemplate.

• Social Media
• Banking
• Transport
• Virtual Communications
• Business Analysis
• Market Risk Analysis
• Healthcare & Medical Services
• Transport
• Air Traffic Control
• Web Service Applications
• E-Commerce
• Agricultural Industry
• Wildlife Conservation
• Security Services
• Google Translate

Conclusion

The future of the world will be based on digital technology, and digital technology platforms will be completely dependent on various real-time applications of Artificial Intelligence and thus incurring the use of Machine Learning Tools, so this proves the importance and significance of Machine Learning.

Recommended Articles

This is a guide to Machine Learning Tools. Here we discuss the introduction, types of tools in machine learning, and uses, respectively. You may also have a look at the following articles to learn more –

1. Machine Learning System
2. Machine Learning Features
3. Machine Learning Life Cycle
4. Uses of Machine Learning