Our list of the 16 best Machine Learning – 2024

Revolutionary technology that enables computers to learn and improve without explicit programming. Transforming industries and driving innovation.

To make it easier, we’ve grouped these into categories with the most popular first.

Although there are some similarities in features between these, depending on your situation, you might find one is more suitable to your needs.

Machine Learning for Web Developers

  1. Java

    Java is a popular programming language used to create secure, reliable, and high-performance applications. It is used to develop applications for desktop, web, mobile, and enterprise systems. Java is free, open-source, and platform-independent.
  2. Google Analytics

    Google Analytics helps you understand how people interact with your website, app, or other digital properties. It provides insights into user behavior, marketing performance, and more, so you can make data-driven decisions.
  3. Python

    Python is a programming language that lets you work quickly and integrate systems more effectively.

Machine Learning for IT Professionals

  1. Vectra AI

    Vectra is the world leader in AI threat detection and response. The Vectra platform uses AI to detect attackers in real time and perform conclusive investigations.
  2. Codecademy

    Learn the technical skills to get the job you want. Join over 50 million people choosing Codecademy to start a new career (or advance in their current one).
  3. VMware

    VMware is the world's leading virtualization platform, providing businesses with the tools they need to create and manage virtual machines.

Machine Learning for Students

  1. TensorFlow

    An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.

Machine Learning for Data Scientists

  1. RapidMiner

    The RapidMiner platform amplifies the impact of people, expertise & data for breakthrough competitive advantage, no matter where you are in your data science journey.
  2. KNIME

    Free and open source with all your data analysis tools. Create data science solutions with the visual workflow builder, & put them into production in the enterprise.
  3. Neo4j

    Connect data as it's stored with Neo4j. Perform powerful, complex queries at scale and speed with our graph data platform.
  4. Theano

    Theano is a powerful Python library for deep learning research and development, with efficient GPU and CPU computation, numerical stability, and dynamic C code generation.
  5. Swift for TensorFlow

    TensorFlow Swift is an open source library for machine learning, allowing developers to easily create and deploy ML models on Apple platforms. It provides an intuitive API, fast performance, and support for both eager and graph execution.
  6. DataRobot

    DataRobot is delivering a unified AI platform for all users, all data types, and all environments to accelerate delivery of AI to production for every organization. DataRobot is trusted by global customers across industries and verticals, including a third of the Fortune 50, delivering over a trillion predictions for leading companies around the world.

Machine Learning for Educational Institutions

  1. Trend Micro

    Trend Micro is a global leader in cybersecurity solutions, providing comprehensive protection for home and business users.

Machine Learning for Government Agencies

  1. ThreatMetrix

    ThreatMetrix helps businesses protect against fraud and cybercrime with a digital identity network. It uses data from billions of transactions to create a global trust network and identify malicious activity.

Machine Learning for Cybersecurity Professionals

  1. Recorded Future

    Recorded Future is the world’s largest intelligence company with complete coverage across adversaries, infrastructure, and targets.
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