Top ML Frameworks to Use in Web Development

What is machine learning?

Machine learning is a sub-field of computer science that use statistical approaches to give the computer the leverage to self-improve without direct human command. Machine learning (ML) frameworks give 180-degree turn to the web development field. ML algorithms can process a large volume of unstructured data and turn it into useful insights. Renowned companies such as Amazon, Netflix, and Google are using ML frameworks to predict the kind of content their consumers may like or dislike to provide them with an unparalleled user experience.

Machine learning is one of the hottest trends in software development. Many professional analysts even believe and predict that ML will completely transmute the web development process, including web and mobile application development.

The following points clearly describe the power of ML frameworks on web development:

• Good alternative
• Remove vulnerable security threats
• The stock of ML APIs
• Speed up product discovery
• Produce customize content and information
• Understand customer behaviors and responses

Highlighting the Top ML Frameworks

Microsoft Cognitive Toolkit

This is a deep learning open-source framework from Microsoft that uses training algorithms to enable learning human brain-like learning. Using this tool, you can utilize various machine models such as convolution network and recurrent neural network.

This tool is designed to use a neutral network to skim large unstructured datasets. A special thanks to its support for the multi-machine, it can easily beat many of its competitors.

Tensor Flow

It is one of the most popular ML frameworks for Java development. It is an open-source framework that user’s graph for numeric computation. Tensor flow is the most bifurcated ML frameworks, and it has the biggest participation of taxpayers.

The flexible architecture of this framework makes it easy for the user to execute computation on one or more CPUs with single APIs, whether it is a desktop, computer or mobile phone.

Apache Mahout

It is another most popular source offering from Apache, written in Java and Scala. This framework is mainly used by mathematicians and scientists to implement their own algorithms. It gives a user the ability to work their calculations in an intuitive environment that actually run-on platforms.

Caffe

It is a learning framework developed on Java. Caffe is made for speed, modularity, and expression. Its easy-to-read architecture reassures personalized application and innovation experience. The configuration provides users to flick from GPU to CPU by a single medium. It is mostly used by institutions and research-based sectors due to its speed; it is built for image classification by taking advantage of a neutral network.

Scikit – Learn

It is the finest ML framework developed by the Python community. It can be utilized in both supervise and non-supervise learning problems. When you think of using Python or machine learning, Scikit-learn should be on your list.

If you have some idea how python operates, then this tool is a blessing in disguise for you. scikit-learn can perform multiple tasks without compromising speed.

Conclusion

We have learnt about some of the top ML frameworks, and it has been predicted that the ML framework will revolutionize the IT world completely. If you are planning to develop your next big project on ML framework, then choose one of them and take this time as an opportunity to start.