Machine Learning In Web Development

Machine Learning In Web Development

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What is Machine Learning?

Machine Learning in web development is the application of AI (Artificial Intelligence), which improves the experience without being explicitly programmed. Also, it provides systems with the ability to learn automatically. Usually, it focuses on developing a computer program that can access data and use it to learn for themselves.

As a result, some types of machine learning

  1. Supervised machine learning algorithms
  2. Unsupervised machine learning algorithms
  3. Semi-supervised machine learning algorithms
  4. Reinforcement supervised machine learning applications

 The importance of AI and Machine Learning in Web Development

Artificial Intelligence and Machine Learning are popular technologies all over the world. Furthermore, it allows web applications to learn and observe from a user’s preferences and habits.

Nowadays, artificial intelligence is becoming more prevalent/trend everywhere. As a result, it uses genetic algorithms and neural networks for building artificial intelligence into web applications from scratch. This method has made an easy process for more companies.

Machine Learning in Web Development
Machine Learning in Web Development

Some top AI and Machine Learning Frameworks for Machine learning in web development

Here, it contains the five top AI and Machine Learning frameworks for web development.

  • Tensorflow
  • Apache Mahout
  • Microsoft Cognitive Toolkit
  • Caffe2
  • Apache Singa

1. Tensorflow:

Short statement:

  1. Developed by Google Brain Team
  2. Founded in November 2015
  3. Written in C++, Python, and CUDA
  4. Platforms are Linux, macOS, Microsoft Windows, Android, JavaScript
  5. Tensorflow latest release 2.1.0 / January 8, 2020
  6. The architecture is flexible for cross-platform development

Tensorflow has been one of the most favourite machine learning frameworks among web developers because the Google Brain Team has created the framework, making it easy for developers to use machine learning in Javascript. Also, in Node for numerical computation at once.

Furthermore, Tensorflow helps the team build an application using machine learning with javascript and node. Modules of TensorFlow are responsible for recognizing varieties of core functions of the real world.

Additionally, Tensorflow provides the essential features of Artificial Intelligence and Machine Learning technology to frontend developers. So, the users can have a real-time experience of the real-works from a web browser.

Almost all businesses are using the Tensorflow ML framework for transforming their web development process so that the end-users can leverage the benefits of machine learning and Artificial Intelligence predictive analysis like fuzzy logic.

As a result, TensorFlow uses multiple types of abstractions and powerful libraries. For training the models for the creation of complex technology.

The company uses TensorFlow:

  1. Google
  2. Intel
  3. CocaCola
  4. Twitter
  5. Linkedin
  6. Snapchat
  7. PayPal
  8. Dropbox
  9. eBay
  10. Uber

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2. Apache Mahout: Machine learning in web development

Apache Mahout is one of the distributed linear algebra frameworks. Also, the mathematically expressive Scala DSL is specially designed to let statisticians, mathematicians, and data scientists so, that they can quickly implement their algorithms. At the same time, Apache spark is recommended as a multiple distributed backend. It is the project of Apache Software Foundation to produce free implementations of distributed backends. Machine learning algorithms focused primarily on the areas of collaborative filtering, clustering, and classification.

  • Mathematically Expressive Scala DSL,
  • Support for Multiple Distributed Backends,
  • Modular Native Solvers for CPU/GPU/CUDA Acceleration.

The company uses Apache Mahout are:-

  1. Ho-chunk, inc
  2. Chubb limited
  3. Community Health System, inc
  4. SAS
  5. Caesars Entertainment Corporation

The top ten countries that use Apache Mahout are:-

  1. United States
  2. India
  3. United Kingdom
  4. Canada
  5. France
  6. Germany
  7. Australia
  8. Spain
  9. Netherlands
  10. China

3. Microsoft Cognitive Toolkit:

Mostly it is known as CNTK, which is a deep learning framework developed by Microsoft Research. Additionally, Microsoft Cognitive ToolKit describes the neural networks via a directed graph. Furthermore, it allows the users to realize feed-forward DNNs, convolutional neural networks (CNNs), and recurrent neural networks (RNNs/LSTMs).

Microsoft Cognitive ToolKit includes the library in python, C#, or C++ programs. Additionally, you can use Microsoft Cognitive ToolKit model evaluation functionality from your Java programs. The latest version of it is 2.7. It supports the 64-bit Linux or 64-bit Windows Operating System. For installing it, you can easily compile the toolkit from the source provided in GitHub. It is one of the first deep-learning toolkits (Machine Learning), which supports the neural network.

The company uses Microsoft Cognitive Toolkit are:-

  1. Boston Scientific
  2. Chubb
  3. Seattle Genetics
  4. Vanguard
  5. Tencent
  6. Amazon

4. Caffe2:

Caffe2 is a deep learning framework that enables flexible and straightforward deep learning. It is designed with speed, expression, and modularity in mind. Additionally, it allows a more relaxed and straightforward way to organize computation.

Caffe2 provides a flexible and accessible, straightforward way to learn deep learning by contributing new models and algorithms. It uses the languages like Python and C++ APIs. It contains the libraries of NVIDIA Deep Learning SDK libraries. Furthermore, cuDNN, cuBLAS, and NCCL deliver high-performance data centres, multi-GPU acceleration for desktops, etc.

In conclusion, all frameworks are suitable for web development, but high-profile companies and countries commonly use TensorFlow.

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