Best Machine Learning Platforms in 2022 Published On: September 8, 2021 Last Updated: January 3, 2022 Have you ever wondered why you keep getting suggestions to watch videos from Netflix’s recommendations based on what you have watched earlier?Is this magic? Machine learning is no less than magic. It gives you recommendations based on your saved data to create a user-friendly experience.So, being an entrepreneur, if you have decided to develop machine learning-based apps, then you must know the ins and outs of machine learning platforms. This comprehensive guide will help you to find the best platform for machine learning.ContentsWhat is Machine Learning?Introduction to Machine Learning PlatformsBest Machine Learning PlatformsKNIME Analytics PlatformTIBCO SoftwareAmazon SageMakerAlteryx AnalyticsSASH2O.aiDatabricks Unified Analytics PlatformMicrosoft Azure Machine Learning StudioDataRobotRapidMinerMachine Learning Platforms ComparisonIntroduction to Machine Learning ToolsBest Machine Learning ToolsFAQsWhich platform is best for machine learning?How do you explain data science and the best machine learning platform for beginners?How can Machine Learning enhance my business?ConclusionWhat is Machine Learning?With the Facebook example, you must be able to get the gist of machine learning. To know more about machine learning and its complete guide, refer to the machine learning app development guide. In simple language, it is a state-of-the-art application of artificial intelligence that gives the ability to the system to learn and improve automatically through experiences.ML is definitely evolving over these years to give a whole new experience to the users based on their interests. Many businesses, like Tinder, and Snapchat, have taken the benefit of ML through mobile app solutions to improve customer experience, gain customer loyalty, increase brand awareness, and target audience filtration.Want to build a machine learning-based app like Tinder or Snapchat?We have already developed ML-based apps Click Here To Get Your Free QuoteIntroduction to Machine Learning PlatformsThe machine learning platform is used for automating and quicken the delivery lifecycle of predictive applications which have capabilities to process big data.A good ML platform allows a data scientist to build blocks to find the solutions for any data science problem. Moreover, the data scientists get complete freedom with an environment where they can easily incorporate the solutions into products. Moving ahead, let’s check out the top AI ML platforms for machine learning 2021.Best Machine Learning PlatformsFace recognition, training and tuning are some of the essential machine learning capabilities. We have listed down the best machine learning software below.KNIME Analytics PlatformKNIME Analytics Platform is a well-known online machine learning platform, which is a free open-source platform that provides end-to-end data analysis, integration, and reporting. With the KNIME Analytics Platform, data scientists can easily enable the creation of visual workflows via a drag-and-drop-style graphical interface. It will not require knowledge of coding.To build workflows, a user gets to choose from more than 2000 nodes. KNIME Analytics allows developers to perform various actions; from basic I/O to data manipulations, transformations, and data mining. The best part of KNIME Analytics is that it consolidates the entire function process into a single workflow.Top Features:Parallel execution on multi-core systemsOffers scalability through sophisticated data handlingSimple extensibility via a well-defined API for plugin extensionsWant to download and try KNIME Analytics Platform? Download KNIMETIBCO SoftwareTIBCO is a data science platform that supports the entire analytics lifecycle with capabilities to include cloud-based analytics that integrates with many open source libraries.TIBCO data science allows the user to prepare data and do the model building, deployment, and monitoring. It is widely known for use cases, such as product refinement and business exploration.Top Features:Automatically detects the locations and visualizes those data as an interactive mapCan analyze data in many visualization types, such as tables and chartsCan access real-time streaming and spot issuesWant to download and try TIBCO Software? Download TIBCO SoftwareAmazon SageMakerAmazon SageMaker is a cloud machine-learning platform that allows developers to create, train, and deploy machine learning models. Data scientists or developers can easily deploy machine learning models on embedded systems and edge devices.It is developed by Amazon Web Services (AWS) that offers the broadest machine and deepest set of learning services and supporting cloud infrastructure.Top Features:Build highly accurate training datasetsProvides a visual interface to analyze the debug data for the easy inspection processNo need to break down the data set into multiple chunksWant to try and download Amazon SageMaker? Download Amazon SageMakerAlteryx AnalyticsAlteryx is the best data science platform that accelerates digital transformation. It offers data accessibility and data science processes.Alteryx provides data scientists with a platform that helps them build models in a workflow.Their vision is to make it easy to use for companies to cultivate a data analytics culture without the requirement of data scientists. In self-service data analytics, Alteryx always leads.Top Features:Automate manual data tasks into repeatable analytics workflowsFreedom to deploy and manage analytic modelsSupport almost every data source and visualization toolWant to try and download Alteryx Analytics? Download Alteryx AnalyticsSASSAS is a data science and analytics software vendor that offers a robust suite of advanced analytics and data science products. The best part of considering the SAS platform is that you can easily access data in any format and from any source.It automatically generates a pipeline that dynamically adjusts to the data. It also includes natural language generation for project management. SAS Model Management allows users to register SAS and open-source models within projects or as standalone models.Top Features:Allows to explore data from within Model Studio and launch directly into SAS Visual AnalyticsVisual interface for the entire analytical lifecycle processView training data within each node in Model StudioWant to try and download SAS? Download SASH2O.aiH2O.ai offers a wide range of AI platforms and data science platforms to expert data scientists. It is a fully open-source platform, which is a distributed in-memory ML platform with linear scalability.H2O supports statistical and machine learning algorithms for those who are looking for deep learning platforms because deep learning is one of the significant advantages of it.It offers Deep Water for deep learning, where H2O continues to lead in data science and machine learning unified platforms.Top Features:Process large text blocks and build models with Natural Language ProcessingHas image processing capabilities using over 30 pre-trained image transformers and modelsAutomatically generates visualizations and creates data plotsWant to try and download H2O.ai? Download H2O.aiDatabricks Unified Analytics PlatformIt offers a cloud and Apache Spark-based unified analytics platform, which is a combination of data engineering and data science functionality.The one who is working on the Databricks Unified Analytics platform gets exclusive features for real-time enablement on AWS, high performance, and best operation results.One can simply access the preconfigured ML environments with a single-click feature for Augmented Machine Learning with popular frameworks.Top Features:Highly reliable and performant data pipelinesProductive data science at scaleEnd-to-end data security and complianceWant to try and download Databricks Unified? Download DatabricksMicrosoft Azure Machine Learning StudioMicrosoft offers its services in the data science and machine-learning markets through its Azure software products.The cloud-based Azure Machine Learning Studio is perfectly designed for those who want to build, test, and execute predictive analytics, and machine learning solutions on their data. Azure is one of the most liked platforms in the data science and machine learning markets.Apart from this, Microsoft Azure allows customers to easily build, deploy, and share advanced analytics solutions in the cloud.Top Features:Integrates with existing DevOps processes and helps to manage the complete ML lifecycleUnderstand models with interpretability and protect dataProvides the best support for open-source frameworks and languagesWant to try and download Microsoft Azure? Download Microsoft AzureDataRobotDataRobot offers an enterprise AI machine learning platform that makes it fast and easy to maintain, build, and deploy AI.It includes Automated Machine Learning, Automated Time Series, and MLOps which are independent and fully integrated tools.All can be easily deployed in various ways according to the business requirements. It helps you to solve business problems by finding the best predictive model for your data.Top Features:Allows to build innovative new deep learning models from incredibly diverse types of dataMonitor models via a centralized dashboard to see usage in real-timeProvides fully explainable AI through human-friendly visual insightsWant to try and download DataRobot? Download DataRobotRapidMinerRapidMiner offers a data science platform to help people for building and operating AI solutions. It covers the entire lifecycle of the AI production process; from data exploration and data preparation to model building, ML models deployment, and model operations.It comes with the depth that is essential for a data scientist to simplify AI via a visual user interface that can easily streamline the process of building and understanding complex models.Top Features:The powerful visual programming environmentAccess, load, and analyze any type of dataEfficiently build and deliver better models fasterWant to try and download RapidMiner? Download RapidMinerSo, we have gone through the best platforms for machine learning along with their features and download option. In case, if you are finding it quite difficult to choose one, no problem. We have compared these platforms in the next section. Let’s have a look at the comparison.Want to Hire ML Developers?Want to validate your app idea? Get a free machine learning consulting for your project. Click Here To Get Your Free QuoteMachine Learning Platforms ComparisonWith the help of Gartner, we have made a comparison table for ML platforms based on the reviews of clients and customers.Many clients and customers rely on Gartner to look up for business suggestions because Gartner is a leading and advisory company. Please feel free to check machine learning platform comparison below.LogoPlatformOverall RatingWould RecommendAlteryx4.7 94% Yes AWS4.7 83% Yes Databricks4.5 91% Yes DataRobot4.8 94% Yes H2O.ai4.8 96% Yes KNIME4.8 100% Yes Microsoft4.5 85% Yes RapidMiner4.7 92% Yes SAS4.6 86% Yes TIBCO4.6 85% Yes To make it easy for you, we have compared all the platforms based on their ‘Overall Ratings’ and ‘Would Recommend’ percentages. You can check all the platforms with their received ratings & recommendation percentage and decide which platform is the best for your project.Comparing all the platforms based on the recommendation percentage, KNIME has got 100%, which is the highest with 34 customer reviews. In fact, this platform is adopted by millions of customers.Have a Project in Mind? Click Here To Get Your Free QuoteIntroduction to Machine Learning ToolsBefore you know the various tools for machine learning, you must know their importance because mastering ML will allow you to perform many tasks.Machine learning comes with an extensive collection of ML tools, platforms, and software products that let you train your models, discover new methods, and create your own algorithms. Machine learning Here’s the list of machine learning tools:Best Machine Learning ToolsHere, we have listed the best machine learning tools and compared them based on their platforms, language, features, benefits, and cost.ToolSupported PlatformLanguageAlgorithms/ FeaturesBenefitsTool CostWebsiteScikit-learnLinux, Mac OS, WindowsPython, Cython, C, C++ClassificationRegressionClusteringPreprocessingModel SelectionDimensionality reductionUnderstandable documentation is providedParameters for any specific algorithm can be changed while calling objects.FreeScikit-learnPyTorchLinux, Mac OS, WindowsPython, C++, CUDAAutograd ModuleOptim Modulenn ModuleHelps in creating computational graphsEase of use because of the hybrid front-endFreePyTorchTensorFlowLinux, Mac OS, WindowsPython, C++, CUDAProvides a library for dataflow programmingUsed in 2 ways – by script tags or by installing through NPMHelp for human pose estimationFreeTensorFlowWekaLinux, Mac OS, WindowsJavaData preparationClassificationRegressionClusteringVisualizationAssociation rules miningProvides online courses for trainingEasy to understand algorithmsGood for students as wellFreeWekaKNIMELinux, Mac OS, WindowsJavaCan work with large data volumeSupports text mining & image mining through pluginsCan work as a SAS alternativeEasy to deploy and installEasy to learnFreeKNIMEColabCloud Service–Supports libraries of PyTorch, Keras, TensorFlow, and OpenCVCan use it from your google driveFreeColabApache MahoutCross-platformJava ScalaPreprocessorsRegressionClusteringRecommendersDistributed Linear AlgebraWorks for large data setsSimpleExtensibleFreeMahout – ApacheAccors.NetCross-platformC#ClassificationRegressionDistributionClusteringHypothesis Tests & Kernel MethodsImage, Audio & Signal. & VisionLibraries are made available from the source code and also through executable installer & NuGet package managerFreeAccord.NetShogunWindows Linux UNIX Mac OSC++RegressionClassificationClusteringSupport vector machinesDimensionality reduction Online learningCan process large data-setsEasy to useProvides good customer supportOffers good features and functionalitiesFreeShogunKeras.ioCross-platformPythonAPI for neural networksUser-friendlyModularExtensiblePaidKeras.ioRapidMinerCross-platformJavaData loading & TransformationData preprocessing & visualizationExtensible through pluginsEasy to useNo programming skills are required30-days Free planStudio (Professional): $7500 per year.Studio (Enterprise): $15000 per year.AI Hub: $54000 per year.RapidMinerTo address all the basic questions and queries, we checked out the best ML platforms and ML tools with all their features. We have also compared them respectively to make it easy for the readers. Check out the best machine learning frameworks that you must try. Still, have some queries? No worries, here we have answered the most common questions that readers ask.Frequently Asked QuestionsWhich platform is best for machine learning?Seeing the performance reviews on Gartner, we can say that KNIME is the first choice of customers who are looking for the best machine learning platform.KNIME has also got 100% ‘Yes’ in the category of ‘Would Recommend’.How do you explain data science and the best machine learning platform for beginners?Data Science: Observing data to draw useful insightsMachine Learning Platform: It automates and speed-up the delivery lifecycle of prophetic apps that are capable of huge data processing.If ML is in your mind to develop your next iOS application, then consult your ideas with us. Being one of the top app development companies, we have the right strategies for your business.How can Machine Learning enhance my business?Today, many businesses are experimenting with the increased use of AI and ML tools to transform their business and bring innovation to the work process. Here, you can see how ML improve your business:Providing Personalized Customer ServiceData Visualization & KPI TrackingImproved Finance ManagementInnovate Marketing & ManagementConclusionWe hope that this information will help you to take the right action while selecting the best machine learning platform for your project. Our dedicated team of iOS developers is always committed to offer the best resolutions to your doubts.The team understands the requirements of disruptive start-ups to large enterprises. Space-O Technologies is a trusted iOS app development company in the USA and India, offering the best iOS app development services. In fact, we have already developed over 2500 iOS apps with exclusive features and functionalities.In case, if you still have any queries or confusion with regards to machine learning software, what is the best platform for machine learning projects, or mobile app development cost, then you can contact us. We will guide you further.15Author BioJigar MistryDesignation: Vice President (Technologies) Jigar Mistry is Vice President (Technologies) at Space-O Technologies. He has 14+ years of experience in the web and mobile app development industry. He has expertise in different mobile app categories like health and fitness, eCommerce, and on-demand.