16 Best Machine Learning Software Reviewed For 2024

Anaconda is a hearty platform for the MLOps life cycle, and is used by the likes of American National Bank, AT&T, Toyota, and Goldman Sachs. Standard features include a Conda package manager, unlimited commercial packages and bandwidth, a mirrored or cloud-based repository, and an environment manager. Their Individual subscription tier is perfect for freelancers: free to use, thousands of open-source packages and libraries, and 7500+ Conda packages.

Anaconda costs from $14.95/mo and also offers a free Individual Edition.

Yooz is a cloud-based financial software that provides an automated accounts payable solution, utilizing artificial intelligence and machine learning to facilitate the capture, processing, and management of invoices. The platform is designed to assist businesses in reducing manual tasks associated with invoice handling by offering features such as intelligent data capture, automated workflow for invoice approval, and electronic payment processing. Yooz also integrates with a variety of ERP and accounting systems, enabling synchronized financial operations and data accuracy. 

Yooz offers pricing upon request. A 15-day free trial is also available.

Cnvrg.io is a scalable full-stack solution for MLOps and model management. They are a leading data science platform with collaborative ML environments, container-based infrastructure, and production-ready infrastructure with native Kubernetes cluster orchestration. Cnvrg.io offers industry-specific assistance for the gaming industry, such as the optimization of monetization, churn reduction, and in-game experience personalization.

Cnvrg.io costs from $9500/instance and offers a free 14-day trial. They also offer a free version of their platform called CORE.

TensorFlow boasts easy model building that can be customized to address image reading and classification, buyer and seller experience optimization, mobile proof-of-purchase elements, job completion predictions, and more. Plus, they offer a deep learning framework for on-device inference. Users can pick a new or retrained ML model, convert it to a compressed flat buffer, and easily load the resulting .tflite file into any mobile or embedded device.

TensorFlow is free to use.

Torch is an open source scientific computing framework used for creating machine learning algorithms or neural networks. Unlike NumPy, it prioritizes GPU support. Torch is efficient and easy to use—it uses LuaJIT as a scripting language, which allows it to interface with C/CUDA seamlessly.

Torch is open source and free to use.

Spell specializes in building and managing machine learning projects in high-impact, changing environments. Users can easily distribute their code to run projects in parallel, deploy models in Kubernetes-based infrastructure, and access collaborative Jupyter workspaces and resources. They have simple set-up and onboarding features for shifting and growing teams, including intuitive web console tools and simple command line tools.

Spell costs from $329/user/month and also offers a freemium version with $10 of GPU credit.

Amazon Machine Learning empowers users to build, deploy, and run machine learning applications in the cloud through AWS. Your team will be able to tap into continuously trained and fully managed natural language processing (NLP), deep learning-based image recognition, and a flexible allotment of t2.medium notebook usage per month. Single-click processes and preset versioning rules make getting things running quick and easy.

Amazon Machine Learning costs from $0.42/hour and offers a 12-month free trial.

Weka is a collection of Java-based machine learning algorithms used for data mining. It provides a variety of tools for data preparation, classification, clustering, regression, association rules mining, and visualization. Weka is well-suited to developing new machine learning and deep learning schemes.Weka is open source and free to use. Pros: *Opensource, *Easy to learn & implement, *Rapid exploratory data analysis, *Platform-agnostic on machines that run Java Cons:Low graphics quality, Outdated/clunky UI

Google Cloud AI platform brings together its AI Platform, AutoML, and MLOps for a comprehensive and unified experience. Their platform scales to the user’s skill level, offering both point-and-click data science using AutoML as well as advanced model optimization. They provide both code-based and no-code tools for a simplified machine learning experience.

Google Cloud AI Platform costs from $0.19/hour and offers a free $300 credit for your first 90 days.

H2O.ai is a user-friendly, accessible AI platform that was named a Visionary by Gartner in the 2020 Magic Quadrant for Data Science and Machine Learning Platforms. Fraud prevention, anomaly detection, and price optimization are some items they offer. H2O Sparkling Water integrates with Spark for users who want to make a query using Spark SQL, feed the results into H2O to build a model and make predictions, and then use the results again in Spark.

H2O.ai costs from $0.046/hour and offers a free 21-day trial.