For quite some times now, we have religiously depended on computers for several activities. To say the least, they have proven reliable, and they have enabled us to be more productive. However, most of what computers are able to achieve have to be in some of the commands installed as programs.


Without this, the computer is not able to achieve anything. Nevertheless, in the recent past, machine learning has been coming out strong and attempting to change this trend.

JMLR MLOSS

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Rating: 4.2/5

Price: Free

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JMLR MLOSS is a machine learning open source software. Essentially, JMLR is an abbreviation for Journal of Machine Learning Research and primarily concentrates on with the publishing of the works done by various contributors within the field of machine learning. JMLR also commits to doing serious reviewing to ascertain the credibility of the work beforehand.

TensorFlow™

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Rating: 4.7/5

Price: Free

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TensorFlow™ is yet another open source software library that deploys data flow graphs to conduct numerical analysis and computations on data. It has a flexible architecture that will make it possible for you to assign computation to one or more processors or GPU in your devices with one API.

mloss

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Rating: 4/5

Price: Free

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mloss a kind of a community of open source machine learning soft wares that primarily concentrates on modulating the sector. The purpose of this is to yield high-quality results from the development of these programs especially counting on the fact that the sector has achieved a high level of maturity.

Apache Mahout

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Rating: 4.8/5

Price: Free

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Apache Mahout is a machine learning software created to enable developers to make machine learning applications that are scalable on performance. The goal of this is to ensure that this is done efficiently and fast. Therefore, Apache is a programming extension that is extensible and fast.

Other Platform

In their very own nature, machine learning soft wares can run on any desktop and environment and the platforms that support this. Despite in their very nature able to concur some of the limitations, they have to run on particular platforms due to the obvious differences in the said platforms.

Weka 3 for Mac

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Rating: 4.4/5

Price: Free

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Weka 3 is a java based data mining software and ultimately a strong machine learning software. In the real essence, Weka 3 is a collection of algorithms of machine learning for the use in data mining. Weka has tools for data classification, pre-processing, clustering, regression, and visualization.

Microsoft Azure for Windows

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Rating: 4.9/5

Price: Free

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Microsoft Azure is a machine learning software developed for the Windows platform by Microsoft. Azure is a very powerful tool that is cloud based and is currently a part of Cortana, which is an intelligent suite found on current versions of the Windows OS. With Azure, you are able to deploy the models very fast.

Most Popular Software for 2016 – Salesforce

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Rating: 4.9/5

Free Trail Available

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Salesforce offers a collection of tools meant for the assistance in data mining and goes further to machine learning. These tools are designed for businesses with the aim of increasing their productivity over a long-term. This is done from several different angles and one doesn’t need to be a pro to be able to do this.

What is a Machine Learning Software?

As we were able to gather, traditionally computers are only able to output to use what we input in terms of programs. However, some situations cannot be predetermined due to complexities as well as limited human capabilities. Machine learning on it part learns on different patterns and cycles from multiple sources.

With this kind of knowledge and together with what is performed, it is able to perform in dynamic environments. The purpose of a machine learning software is to develop programs that have this ability. These are the soft wares that have made it possible for items as self-driving cars.

Computing and technology, in general, has taken the whole world by storm, and we can hardly estimate where it will eventually take us. However, it is great that we are a part of the generation that will enjoy this kind of technology advancements, yet it can be expected that there is much more to come.


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