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- Machine learning - Wikipedia
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and thus perform tasks without explicit instructions [1]
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There, you'll learn how to build ML models, apply best practices for ML development, and even build and train your own neural network for multi-class classification To prepare for a career in AI and ML engineering, consider the Microsoft AI ML Engineering Professional Certificate
- What is machine learning? Guide, definition and examples
You'll find information on the various types of ML algorithms, challenges and best practices associated with developing and deploying ML models, and what the future holds for machine learning Throughout the guide, there are hyperlinks to related articles that cover these topics in greater depth
- What is Machine Learning? | Google for Developers
Machine learning (ML) powers some of the most important technologies we use, from translation apps to autonomous vehicles This course explains the core concepts behind ML ML offers a new
- What Is Machine Learning (ML)? | IBM
Machine learning (ML) is a branch of artificial intelligence (AI) focused on enabling computers and machines to imitate the way that humans learn, to perform tasks autonomously, and to improve their performance and accuracy through experience and exposure to more data
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