Utilizing the best machine learning software tools to facilitate machine learning is a great idea to implement.
In our recent publication on industries leveraging machine learning technology, we talked about the usefulness of machine learning (ML).
We also looked at some industrial groups leveraging machine learning (ML) technology.
In this article, we are looking at tools used for machine learning and their possible functionalities.
The Best Machine Learning Software Tools
PyTorch
FAIR (Facebook's AI Research Lab) has developed PyTorch, an open-source machine learning platform.
It's employed in the development of applications like object recognition and language processing.
This tool has interactive Python and C++ interfaces. PyTorch is useful in the development of deep learning software like PyTorch Lightning, Hugging Face's Transformers, and Tesla Autopilot, among others.
Using the Autograde Module, it assists developers in creating neural networks.
Google's Machine Learning Kit for Mobile
The Google Machine Learning Kit for Mobile is a tool that allows you to build machine learning applications.
This program is designed specifically for app developers. The ML kit includes everything you need to design and construct more robust, optimized, and tailored apps, thanks to machine learning and technical knowledge.
Text recognition, barcode scanning, landmark detection, face detection, and image labeling are just a few of the areas where it comes in handy. It also comes in handy when you're not connected to the internet.
TensorFlow
TensorFlow is a machine learning and deep learning modeling tool that aids in the training and construction of models.
This tool was created by the Google Brain Team, and it is used by machine learning experts to create a variety of ML applications.
The tool comes with a robust library, tools, and resources for numerical computing, making it ideal for large-scale machine learning and deep learning projects.
Developers that specialize in machine learning can quickly build ML apps. Beginners can get started with TensorFlow using a high-level Keras API.
Amazon Machine Learning
AML (Amazon Machine Learning) is a cloud-based, scalable machine learning software program for building models and making predictions.
It also aids in the integration of data from a variety of sources, such as Redshift, Amazon S3, and RDS.
It assists users in recognizing patterns, constructing mathematical models, and making predictions.
Multi-class classification and binary classification are also supported by this software.
Other machine learning software tools are:
- Shogun - a free machine learning tool presented in C++ and offering numerous data structures and algorithms for machine learning and problem solving.
- Rapid Miner - a data and text mining software tool owned by Altair Engineering. It is used to transform unstructured texts and data into structured formats to give meaningfulness and new insights.
- Colab - this is a machine learning tool that offers free access to computer resources with graphic processing units as well as tensor processing units.
- KNIME - known as the abbreviation for the Konstanz Information Miner, is a free open source tool used to perform data analysis, reportal, and integration.
- WEKA - the acronym for Waikato Environment for Knowledge Analysis, is a machine learning software for data collection and analytics.
- Scikit Learn - this is another open source machine learning tool that works with the Python programming language, developed by David Cournapeau.
- We also have Apache Mahout, Python, and others.