Top machine learning tools used by experts in 2021

The amount of data generated on a daily basis is so enormous that the term given to identify such a large volume of data is called “big data”. Big data is usually raw and cannot be used to achieve business goals. It is therefore important to transform this data into an easy-to-understand form. This is exactly where machine learning comes in. With machine learning in place, it is possible to understand customer demands, their behavior and more, thus enabling the business to achieve its goals. . For this, companies and experts rely on certain machine learning tools. Here is our discovery of the best machine learning tools used by experts in 2021. Take a look!

Keras

Keras is a free and open source Python library commonly used for machine learning. Designed by Google engineer François Chollet, Keras acts as an interface for the TensorFlow library. Besides being user-friendly, this machine learning tool is fast, easy and works on both CPU and GPU. Keras is written in the Python language and works as an API for neural networks.

KNIVES

KNIME is another machine learning tool widely used around the world. It’s easy to learn, free, and ideal for reporting, analysis, and data integration platforms. One of the many remarkable features of this machine learning tool is that it can integrate codes from programming languages ​​such as Java, JavaScript, R, Python, C, and C ++.

WEKA

WEKA, designed at the University of Waikato, New Zealand, is a proven solution for open source machine learning. This machine learning tool is considered ideal for researching, teaching I-models, and building powerful applications. This is written in Java and supports platforms such as Linux, Mac OS, Windows. It is widely used for teaching and research purposes as well as for industrial applications for the sole reason that the algorithms employed are easy to understand.

Shogun

Shogun, a free, open source software library for machine learning is fairly easily accessible for businesses of all backgrounds and sizes. Shogun’s solution is entirely in C ++. It can be accessed in other development languages ​​including R, Python, Ruby, Scala, etc. From regression and classification to hidden Markov models, this machine learning tool has you covered.

Quick miner

If you are just starting out, there can’t be a better machine learning tool to start with other than Rapid Miner. This is because it doesn’t require any programming skills in the first place. This machine learning tool is considered ideal for text mining, data preparation, and predictive analytics. Designed for business leaders, data scientists, and forward-thinking organizations, Rapid Miner has surely grabbed attention for all the right reasons.

TensorFlow

TensorFlow is another machine learning tool that has gained immense popularity in no time. This open source framework combines the two models of neural networks with other machine learning strategies. With its ability to run on both CPU and GPU, TensorFlow has managed to make it to the list of preferred machine learning tools.

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