Best Software Used in Machine Learning

Machine learning has emerged as the most important technology in today’s generation and it is also an overwhelming way to use it in a correct way. How fascinating it would be to build a machine that behaves like a human being to great extent. Mastering Machine learning tools will let you play with the data, train your models, discover new methods, and create your own algorithms when it comes to machine learning software. Machine learning comes with an extensive collection of ML tools, platforms, and software. However, ML technology has evolved continuously in the past few days. Below are the best software used in machine learning.

TensorFlow

An Introduction to TensorFlow and implementing a simple Linear Regression Model | by Saurav Saha | Data Driven Investor | Medium

This is an open-source application network that is simple to access and has multiple platforms. TensorFlow is known for its well-maintained and commonly used machine learning applications. It was also developed by Google to promote its research & development goals and used by a variety of firms, including Dropbox, eBay, Intel, Twitter, and Uber. Even the TensorFlow allows developing neural networks using flowgraphs.

Hard

Keras is the open-source programming library that is designed to create deep learning models. Well, this is written in python and can be deployed on Al technologies such as TensorFlow, Microsoft Cognitive Toolkit, and Theano. Keras is known for the user-friendless, modularity, and ease of extensibility. Keras is the ideal tool to used in machine learning software.

Scikit Learn

This is the open-source library developed for machine learning and code is written in Python. It has several features like classification, regression, clustering, and dimensionality reduction.  Also, it has other open-source projects like Matplotlib, NumPy, and SciPy where it focuses on data mining and data analysis.

Torch

The torch is a machine learning library that offers a wide range of algorithms for deep learning. This open-source framework provides you with the speed and flexibility when handling the machine learning projects without causing unnecessary complexities in the process. So, it is written using the scripting language Lua and comes with an underlying C implementation. Torch includes N-dimensional arrays, linear algebra routines, and numeric optimization routines that support iOS and android platforms.

Apache Mahout

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Apache Mahout is a linear algebra framework and mathematically expressive Scala DSL. This can be a free and open-source project of the Apache Software Foundation. So, the intention of this framework is to put in force an algorithm quick for record scientists, mathematicians, and statisticians.

When the developer starts building the machine learning application, they have to select one program which can be a difficult task to develop when it comes to machine learning software. The above types are the ones that are used for programming. Hope that I have covered all the topics in my article about an open-source program for machine learning. Thanks for reading!

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