AI is a broad term that represents advanced intelligence in computing. From chess to speech recognition assistants such as Apple’s Siri and Amazon’s Alexa, AI can include anything.
Machine Learning is a subset of AI. Machine Learning is primarily based on data reception and learning from computers. Today, ML tools are for companies the most sought-after AI tools. In order to excellently identify face and voice, object recognition, translation, chatbots, etc, machine learning systems are able to use information gained by training from large sets of data. Although a hand-coded program needs those instructions to execute a task, ML may identify patterns alone in order to anticipate the next step.
ML is the computer’s ability to understand and work without specific scripting. To enable this self-learning function, Machine Learning uses the below techniques:
- Supervised learning
- Unsupervised learning
- Semi-supervised learning
- Reinforcement learning
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