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Best Platforms for Data Science and Machine Learning?

Since you are here to find out that what are the best platforms for Data Science and Machine Learning, we will skip beating around the bush as to what Data Science or Machine Learning are. Instead, we will skip right to the point wherein we give you what you came here in search for and that is the names of the best platforms for Data Science and Machine Learning.

What are Data Science and Machine Learning Platforms?

Data Science and Machine Learning platforms offers users the right tools to aid them in building, deploying and monitoring machine learning algorithms. With the aid of these platforms, intelligence, decision- making algorithms are combined with data to enable the developer in the creation of a business solution.

Different platforms offer different features. Certain Data Science and Machine Learning platforms have the nature of enabling users without prior intensive data science skills to still benefit from the features the platform has to offer. There is a line of similarity between AI platforms and PaaS (Platforms- as- a- Service), allowing basic application development. However, their distinction lies in offering machine learning options.

What are the best Platforms for Data Science and Machine Learning?

MATLAB

Developed by MathWorks, MATLAB is a modelling, simulation and programming tool which is actively used in the research and higher education industries.

Anaconda

With over 25 million users across the globe, Anaconda is amongst the world’s leading data science platforms and is also the foundation of modern machine learning.

It is most commonly used in computer software and the information technology and services.

Databricks Lakehouse Platform

An AI and Data company, Databricks Lakehouse Platform has over 5,000 organizations worldwide including Conde Nast, H&M, Comcast, and Nationwide, as well as more than 40% of the Fortune 500 relying on it for machine learning, analytics, and data engineering.

Used by data scientists and data engineers most actively, its is highly incorporated in industries of financial services and information technology and services.

Deepnote

It is out to build the best data science notebook for teams, wherein users will be able to connect their data, as well as analyse and explore it with real- time versioning and collaboration. It has a wide array of features including inviting others to view, collaborate, comment – sharing datasets between projects – importing from github – sharing projects and notebooks via URL – full Linux terminal access – PostgreSQL DB connection – automatic python package management – code completion – amongst others.

Computer software and higher education are the two industries where Deepnote has found its usefulness.

RStudio

A popular modular data science platform, RStudio combines commercial products and open- source. This platform is complemented by multiple online services such as shinyapps.io and RStudio Cloud that makes it easier to learn, practice and teach data science.

RStudio has found its usage in various industries including higher education and information technology and service.

Google Cloud AI Platform

Google is a name known to all and trusted by individuals and companies like across the globe. With Google Cloud AI Platform, it promises machine learning on any data, pertaining to any given size.

Google Cloud AI Platform has found its use in the financial services and computer software industries primarily.

IBM Watson Studio

IBM Watson Studio on IBM Cloud Pak for Data is a worldly acknowledged data science and machine learning platform which has helped companies establish AI- powered digital transformation. It facilitates businesses in scaling trustworthy AI and optimizing decisions. Watson Studio is known to seamlessly integrate seamlessly with security capabilities, data privacy, open- source framework, AI application tooling, a robust technology ecosystem, and data management services.

Computer software and the IT sector are two industries making maximum utilization of this data science and machine learning platform.

Alteryx

Considered to be one of the easiest data science and machine learning platforms to use, Alteryx is a fun, end- to- end, no- code/ low- code data analytics platform allowing any person, anywhere to turn humongous amounts of data into quick insights to help create breakthroughs every day. Organizations rely upon this platform to upskill their workforce rapidly and produce high- impact business outcomes.

Management consulting and information technology and services are industries where Alteryx is very highly considered useful.

RapidMiner

Again, one of the easiest data science and machine learning platforms software, RapidMiner is for those who are driven towards accelerating the pace of transformation. This enterprise- ready platform which amplifies the overall impact of an organization’s expertise, its people and its data for break- through competitive advantage. This platform supports its analytics users throughout the entire AI lifecycle.

Education management and higher education are two industries wherein the use of RapidMiner is quite prevalent, while other industries use it too.

There is no end to the number of platforms that are available in the market for data science and machine learning. However, the definition if best depends entirely on the nature of the organization as well as their needs. Thus, the only thing left to do is to enrol with the right institute, such as Grras Solutions, to learn and grow in this field of potential.