Machine learning is one of the emerging technologies. With every business sector looking to deploy machine learning, skill-set in the same opens the door for endless opportunities.
Several software will enable trainees to deploy machine learning commands with ease. Are you looking for the best Machine Learning Software To Expertise? In this article, we chose the ones, which create buzz around the market for their special features.
10 Machine Learning Software
1. TensorFlow
TensorFlow is a top-notch software best suited for Machine Learning models on IoT and Mobile devices. It is an open-source software library for Machine Learning practice and is available for free. One can perform several tasks and use them in building deep learning and mathematical models.
Tensor is a multi-dimensional array, which is the basic data type of TensorFlow. The software facilitates functions and supports different applications of ML-like Reinforcement Learning, Computer Vision, and NLP.
Here are some splendid features:
- Hassle-free training and debugging
- Available for free
- Several library functions for tasks around images, video, text, and more.
2. H2O.ai
It is a deep learning platform that enables a scalable multi-layer artificial neural system. The software is a fully open-source, distributed in-memory ML platform available with linear scalability.
It provides the foremost widely accepted machine learning and statistical algorithms including generalized linear models, gradient boosted machines, deep learning and more.
The highlighting features of the platform would be:
- Open-source transparency
- Big data support
- Boosts the conversation of data to predictions
3. Neural Designer
Neural Designer is another top-notch choice for machine learning enthusiasts. The high-level software is beneficial for those, who are looking to incorporate neural network models in the banking, healthcare, engineering, and consumer industries.
The easy-to-use platform depends on a standard protocol set for building neural network models, enabling users to create AI-powered applications without algorithms or block diagrams.
Some of the exciting features of the Neural Designer include:
- Performing parameter optimization problems
- Best memory management with massive data sets.
- Hassle-free interface.
4. Anaconda
It is well-suited software for small-scale and medium-scale businesses, and it includes distinct features such as an environment manager, Conda package manager, and unlimited commercial packages and bandwidth.
The platform simplifies package management and deployment, and it incorporates a set of tools that help you easily collect data from sources through AI and Machine Learning.
Here is the list of some features:
- Opens source
- Free availability
- Simple package management and implementation
- Advanced tools to gather data from sources via ML and AI
5. Pytorch
It is an open-source platform, highly preferred for applications such as tongue processing and computer vision.
The software is created by Facebook. It fecilitates a highly advanced deep learning framework. The main features of the software are Tensors and Deep Neural Networks. One can create expeditious prototyping for research.
Other important features include:
- Available for Free
- Open-source
- Training and developing neural network-based deep learning models.
6. Apache Mahout
It is an open-source project that is intensively utilised for developing a scalable machine learning model. The platform has been constantly adding new algorithms.
Some of the main features of Apache Mahout include:
- It fecilitates native solvers for CPUs and GPUs.
- Free and open-source.
7. Shogan
It is a popular, open-source machine learning platform. The supported programming languages are Python, R, Scala, Ruby, C# etc. It provides several algorithms and data structures to resolve Machine learning problems.
8. IBM Machine Learning
One of the best, open-source machine learning software available for beginners, intermediate, and also for advanced level learners.
The software assists businesses execute a broad range of tasks, like scaling apps dynamically across any cloud.
9. Spell
It is a comprehensive software built to meet the various needs of deep learning managers, engineers, and stakeholders. The software particularises in developing and managing ML projects in maturing environments. It provides easy distribution of codes to execute projects in parallel.
The platform offers simple onboarding features to access enlarging teams, as well as intuitive web console tools and command line tools.
10. Azure Machine Learning
It is a top-notch Machine Learning software for beginners that provides tools to build comprehensive machine learning models.