Amazon Machine Learning
Amazon Machine Learning is a new player in the AI sphere but is quickly becoming famous due to its apt features. It was initially released on 29 November 2017. The fundamental operations of this framework consist of data analysis, model training, and evaluation. Amazon Machine Learning is very beginner-friendly as it has customized tools for every experience level. Hence it’s a preferable option for developers of all skill levels.
Key features:
- Latest version: Amazon Machine Learning latest version is 14.1. in October 2019.
- Wide Usage: This framework is widely used by developers, data scientists, and machine learning researchers as it allows to discover patterns in end-user data through algorithms and construct mathematical models based on these patterns.
- Abstracted Framework: Amazon Machine Learning provides less versatility due to its abstracted framework.
- AI-powered framework: This framework has less code due to its AI-powered framework and APIs. It permits business analysts to develop ML models and forecast accurate predictions without much ML expertise.
Top 10 Artificial Intelligence Frameworks to Learn in 2024
Artificial Intelligence (AI) plays a crucial role in today’s digital world, and it’s expected to reach a market value of $190.61 billion by 2025. People from all walks of life, including digital enthusiasts and the average person, are contributing to this transformation.
Easy-to-use tools like Python, AI models, and the best AI frameworks make it accessible for more people to join in, creating a collaborative effort to shape the global digital landscape. As per the survey, the global AI market is expected to reach $190.61 billion by the year 2025.
Top artificial intelligence frameworks speed up the creation of AI applications, covering various areas like deep learning, machine learning, NLP solutions, and neural networks. As AI becomes more common, dealing with large sets of data, known as “big data,” becomes a challenge for organizations. This is why many technologies today require a reliable artificial intelligence framework to effectively handle and make sense of such data.